Triple
T21993574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Invitation (2015 film) |
E543147
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Phil Hay |
—
|
NE NERFINISHED |
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: Phil Hay | Statement: [The Invitation (2015 film), writer, Phil Hay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Hay Context triple: [The Invitation (2015 film), writer, Phil Hay]
-
A.
Phil Hay
chosen
Phil Hay is an American screenwriter known for co-writing genre films such as "Clash of the Titans" (2010), "Ride Along," and "Destroyer," often in collaboration with Matt Manfredi.
-
B.
Chris Walas
Chris Walas is an American special effects and makeup artist best known for his groundbreaking creature and makeup work on films such as David Cronenberg’s "The Fly."
-
C.
Dan Schafer
Dan Schafer, better known as Dan Vapid, is a punk rock musician recognized for his work with bands like Screeching Weasel, the Riverdales, and Dan Vapid and the Cheats.
-
D.
Chris Mundy
Chris Mundy is a television writer and producer best known as the showrunner of the crime drama series "Ozark."
-
E.
Don Carpenter
Don Carpenter was an American novelist and screenwriter best known for his gritty depictions of working-class life and the entertainment industry, including the crime novel that inspired the film "Payday."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:17 p.m.