Triple
T15513285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank D. Gilroy |
E368766
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Tony Gilroy |
E201162
|
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: Tony Gilroy | Statement: [Frank D. Gilroy, child, Tony Gilroy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Gilroy Context triple: [Frank D. Gilroy, child, Tony Gilroy]
-
A.
Tony Gilroy
chosen
Tony Gilroy is an American filmmaker and screenwriter best known for writing the Bourne film series and directing the acclaimed thriller "Michael Clayton."
-
B.
Zak Penn
Zak Penn is an American screenwriter and director known for his work on major science fiction and superhero films such as "The Avengers," "X2," and "Ready Player One."
-
C.
Christopher McQuarrie
Christopher McQuarrie is an American filmmaker and screenwriter best known for writing "The Usual Suspects" and directing several "Mission: Impossible" films.
-
D.
David Koepp
David Koepp is an American screenwriter and director best known for writing major Hollywood films such as Jurassic Park, Mission: Impossible, and Spider-Man.
-
E.
Steve Kloves
Steve Kloves is an American screenwriter best known for adapting most of the Harry Potter novels into the successful film series.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04030c0208190a1931ea130075603 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4edee481908382ca5cd266f7b0 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:01 a.m.