Triple
T15296171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spy Game (film score) |
E365662
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Spy Game (film) |
E542095
|
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 Game (film) | Statement: [Spy Game (film score), basedOn, Spy Game (film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spy Game (film) Context triple: [Spy Game (film score), basedOn, Spy Game (film)]
-
A.
Spy Game
chosen
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.
-
B.
Spy
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.
-
C.
Spy (2015 film)
Spy (2015 film) is an action-comedy movie starring Melissa McCarthy as a CIA analyst who goes undercover to prevent a global disaster.
-
D.
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.
-
E.
Spies
Spies is a German-origin surname most notably associated with August Spies, a prominent 19th-century anarchist and labor activist involved in the Haymarket affair.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef81058c8190aec7c7ad9a68f569 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.