Triple
T11345451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prisoners of War |
E268700
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Gideon Raff |
E268706
|
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: Gideon Raff | Statement: [Prisoners of War, writer, Gideon Raff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gideon Raff Context triple: [Prisoners of War, writer, Gideon Raff]
-
A.
Gideon Raff
chosen
Gideon Raff is an Israeli film and television director, screenwriter, and producer best known for creating the series "Prisoners of War," which inspired the American show "Homeland."
-
B.
Gideon Gartner
Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
-
C.
Gideon Porath
Gideon Porath is a cinematographer best known for his work on the 1996 television film "Doctor Who: The Movie."
-
D.
Gideon Shryock
Gideon Shryock was a prominent 19th-century American architect known for introducing the Greek Revival style to public buildings in Kentucky.
-
E.
Raynold Gideon
Raynold Gideon is a film producer and screenwriter best known for his work on popular Hollywood movies such as "Turner & Hooch" and "Stand by Me."
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58b7033448190b848ccd3712c0b0e |
completed | April 20, 2026, 2:12 a.m. |
Created at: April 8, 2026, 9:33 p.m.