Triple
T14016245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spies Like Us |
E337210
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Steve Forrest |
E659206
|
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: Steve Forrest | Statement: [Spies Like Us, starring, Steve Forrest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Forrest Context triple: [Spies Like Us, starring, Steve Forrest]
-
A.
Steve Forrest
chosen
Steve Forrest was an American film and television actor known for his rugged leading-man roles in mid-20th-century Hollywood productions.
-
B.
Craig Forrest
Craig Forrest is a former Canadian professional goalkeeper best known for his long international career with Canada’s national team and his club tenure in England, particularly with Ipswich Town and West Ham United.
-
C.
Steven Stroud
Steven Stroud is an American illustrator and cover artist known for his work on numerous science fiction and fantasy book covers.
-
D.
Bryan Furst
Bryan Furst is a film producer known for his work on genre movies, including serving as a producer on the 2023 horror-comedy "Renfield."
-
E.
Steve Yockey
Steve Yockey is an American television writer and producer best known for creating and showrunning the darkly comedic thriller series "The Flight Attendant."
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.