Triple
T16295907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal |
E395646
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Hal Wilkerson
Hal Wilkerson is the well-meaning, eccentric, and often childlike father character played by Bryan Cranston on the television sitcom "Malcolm in the Middle."
|
E1212197
|
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: Hal Wilkerson | Statement: [Hal, fullName, Hal Wilkerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Wilkerson Context triple: [Hal, fullName, Hal Wilkerson]
-
A.
Roy Hinson
Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
-
B.
Greg Edmonson
Greg Edmonson is an American composer best known for his work on the television series Firefly and the Uncharted video game franchise.
-
C.
Dennis Williams
Dennis Williams is an American labor leader who served as president of the United Auto Workers union, representing autoworkers in contract negotiations and labor policy.
-
D.
Russel Hines
Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
-
E.
Kene Holliday
Kene Holliday is an American actor best known for his role as investigator Tyler Hudson on the television series "Matlock."
- 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: Hal Wilkerson Triple: [Hal, fullName, Hal Wilkerson]
Generated description
Hal Wilkerson is the well-meaning, eccentric, and often childlike father character played by Bryan Cranston on the television sitcom "Malcolm in the Middle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hal Wilkerson Target entity description: Hal Wilkerson is the well-meaning, eccentric, and often childlike father character played by Bryan Cranston on the television sitcom "Malcolm in the Middle."
-
A.
Roy Hinson
Roy Hinson is a former American professional basketball player and standout forward from Rutgers University who played several seasons in the NBA during the 1980s.
-
B.
Greg Edmonson
Greg Edmonson is an American composer best known for his work on the television series Firefly and the Uncharted video game franchise.
-
C.
Dennis Williams
Dennis Williams is an American labor leader who served as president of the United Auto Workers union, representing autoworkers in contract negotiations and labor policy.
-
D.
Russel Hines
Russel Hines is a fictional character in the darkly comedic crime film "To Die For."
-
E.
Kene Holliday
Kene Holliday is an American actor best known for his role as investigator Tyler Hudson on the television series "Matlock."
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2d08108190bab1b3325923af1d |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c4ab62881909c311bdc44068dc4 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003e490bf0819093acd954a4cd9b0c |
completed | May 10, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003f1037408190a5edd4a5258b50c9 |
completed | May 10, 2026, 8:17 a.m. |
Created at: April 10, 2026, 5:06 a.m.