Triple
T11243109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Weaken |
E266124
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Roy Brooks
Roy Brooks was an American actor best known for his role in the silent short comedy film "Never Weaken."
|
E933070
|
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: Roy Brooks | Statement: [Never Weaken, starring, Roy Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Brooks Context triple: [Never Weaken, starring, Roy Brooks]
-
A.
Roy Brooks
Roy Brooks was an American jazz drummer known for his dynamic hard bop style and collaborations with leading artists of the 1950s–1970s.
-
B.
Michael Brooks
Michael Brooks was an American basketball player best known as a standout forward at La Salle University who went on to play professionally in the NBA and overseas.
-
C.
Simon Brooks
Simon Brooks is a film producer best known for his work on romantic comedies such as "Love, Rosie."
-
D.
David Brookwell
David Brookwell is a film and television producer best known for co-founding Brookwell McNamara Entertainment and producing family-oriented and inspirational projects such as "Soul Surfer."
-
E.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
- 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: Roy Brooks Triple: [Never Weaken, starring, Roy Brooks]
Generated description
Roy Brooks was an American actor best known for his role in the silent short comedy film "Never Weaken."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Brooks Target entity description: Roy Brooks was an American actor best known for his role in the silent short comedy film "Never Weaken."
-
A.
Roy Brooks
Roy Brooks was an American jazz drummer known for his dynamic hard bop style and collaborations with leading artists of the 1950s–1970s.
-
B.
Michael Brooks
Michael Brooks was an American basketball player best known as a standout forward at La Salle University who went on to play professionally in the NBA and overseas.
-
C.
Simon Brooks
Simon Brooks is a film producer best known for his work on romantic comedies such as "Love, Rosie."
-
D.
David Brookwell
David Brookwell is a film and television producer best known for co-founding Brookwell McNamara Entertainment and producing family-oriented and inspirational projects such as "Soul Surfer."
-
E.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6e19c9c81909d114cf9bd0e2f84 |
completed | April 21, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69e6ec59994c8190b1de0bec84324fa1 |
completed | April 21, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f8ec88e88190bfa21c2d06d67bd8 |
completed | April 21, 2026, 4:11 a.m. |
Created at: April 8, 2026, 9:30 p.m.