Triple
T3621551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoolander |
E76737
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Greg Hayden |
E254990
|
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: Greg Hayden | Statement: [Zoolander, editor, Greg Hayden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Hayden Context triple: [Zoolander, editor, Greg Hayden]
-
A.
Greg Hayden
chosen
Greg Hayden is a film editor best known for his work on major comedy features, including the Austin Powers series.
-
B.
Steve Hayden
Steve Hayden is an acclaimed advertising copywriter best known for co-creating Apple’s iconic “1984” Super Bowl commercial that helped redefine modern advertising.
-
C.
Jo Hayden
Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
-
D.
Jonathan Hunt
Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
-
E.
Paul Harragon
Paul Harragon is a former Australian rugby league prop forward best known as a stalwart leader of the Newcastle Knights and a key figure in their early success in the 1990s.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4882d20fc819082c0b640cddce269 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:23 p.m.