Triple
T1775446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiat/Day |
E38965
|
entity |
| Predicate | notableEmployee |
P304
|
FINISHED |
| Object | Lee Clow |
E136674
|
NE FINISHED |
How this triple was built (2 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: Lee Clow | Statement: [Chiat/Day, notableEmployee, Lee Clow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Clow Context triple: [Chiat/Day, notableEmployee, Lee Clow]
-
A.
Lee Clow
chosen
Lee Clow is a legendary American advertising executive best known for his groundbreaking work at TBWA\Chiat\Day, where he helped create iconic campaigns for Apple and other major brands.
-
B.
Ray Cusick
Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
-
C.
Dan Dailey
Dan Dailey was an American actor and dancer best known for his roles in Hollywood musicals of the 1940s and 1950s.
-
D.
Terry Tumey
Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
-
E.
Lyle Bettger
Lyle Bettger was an American character actor best known for his frequent portrayals of suave villains in mid-20th-century Hollywood films and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b6c4a88190ab2f75c8d4814f11 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae516bbbf48190ae87ec3344da64d1 |
completed | March 9, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:31 p.m.