Triple
T3621533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoolander |
E76737
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Derek Zoolander |
E372944
|
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: Derek Zoolander | Statement: [Zoolander, character, Derek Zoolander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Zoolander Context triple: [Zoolander, character, Derek Zoolander]
-
A.
Derek Zoolander
chosen
Derek Zoolander is a dim-witted but well-meaning male supermodel and the comedic protagonist of the film "Zoolander."
-
B.
Cletus Klump
Cletus Klump is the jovial, gluttonous patriarch of the Klump family in the Nutty Professor film series, portrayed in heavy prosthetics by Eddie Murphy.
-
C.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
-
D.
Jim Zwerg
Jim Zwerg is an American civil rights activist best known for his courageous role as a white Freedom Rider who was brutally attacked while challenging segregation in the early 1960s.
-
E.
Harry Dreyfuss
Harry Dreyfuss is an American writer and actor known for his essays, political commentary, and for speaking publicly about his experiences with harassment in the entertainment industry.
- 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_69b44f0e8d1c8190ae1728d07d5a9e87 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.