Triple
T11447335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Feig |
E271298
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Spy |
E714543
|
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: Spy | Statement: [Paul Feig, directorOf, Spy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spy Context triple: [Paul Feig, directorOf, Spy]
-
A.
Spy
chosen
Spy is a 2015 action-comedy film starring Melissa McCarthy as a desk-bound CIA analyst who goes undercover to infiltrate the world of deadly arms dealers.
-
B.
Spy Game
Spy Game is a 2001 espionage thriller film directed by Tony Scott, starring Robert Redford and Brad Pitt as CIA operatives navigating a high-stakes rescue mission amid Cold War-era intrigue.
-
C.
SPY
SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
-
D.
High Spy
High Spy is a prominent fell in England’s Lake District, forming part of the rugged ridge between Borrowdale and Newlands Valley and offering extensive views over the surrounding Cumbrian landscape.
-
E.
The Spy
"The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8f8049881909c1a52101e4620b3 |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.