Triple
T3342375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parenthood |
E70287
|
entity |
| Predicate | hasMainCastMember |
P7010
|
FINISHED |
| Object |
Max Burkholder
Max Burkholder is an American actor best known for playing Max Braverman on the television series "Parenthood."
|
E349971
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Max Burkholder | Statement: [Parenthood, hasMainCastMember, Max Burkholder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Burkholder Context triple: [Parenthood, hasMainCastMember, Max Burkholder]
-
A.
Kevin Willard
Kevin Willard is an American college basketball coach best known for leading the University of Maryland men's basketball program after a successful tenure at Seton Hall.
-
B.
Tom Burleson
Tom Burleson is a retired American professional basketball center best known for his shot-blocking and rebounding in the NBA during the 1970s.
-
C.
Kenneth Parcell
Kenneth Parcell is a relentlessly cheerful, naive NBC page on the sitcom "30 Rock," known for his unwavering optimism, Southern charm, and bizarrely long-lived backstory.
-
D.
Michael Turner
Michael Turner is a common name shared by several notable individuals, including a British comic book artist, professional athletes, and entertainers.
-
E.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Max Burkholder Triple: [Parenthood, hasMainCastMember, Max Burkholder]
Generated description
Max Burkholder is an American actor best known for playing Max Braverman on the television series "Parenthood."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Burkholder Target entity description: Max Burkholder is an American actor best known for playing Max Braverman on the television series "Parenthood."
-
A.
Kevin Willard
Kevin Willard is an American college basketball coach best known for leading the University of Maryland men's basketball program after a successful tenure at Seton Hall.
-
B.
Tom Burleson
Tom Burleson is a retired American professional basketball center best known for his shot-blocking and rebounding in the NBA during the 1970s.
-
C.
Kenneth Parcell
Kenneth Parcell is a relentlessly cheerful, naive NBC page on the sitcom "30 Rock," known for his unwavering optimism, Southern charm, and bizarrely long-lived backstory.
-
D.
Michael Turner
Michael Turner is a common name shared by several notable individuals, including a British comic book artist, professional athletes, and entertainers.
-
E.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1ee711481909c0d921f1b5b8562 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a946ba88190bd40ba7481baf28d |
completed | March 12, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69b31c3aaba48190b203e344d71080f3 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31da28a04819096e7ced5f123592a |
completed | March 12, 2026, 8:10 p.m. |
Created at: March 8, 2026, 3:12 p.m.