Triple
T11464540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Vidor |
E271746
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vidor |
E271746
|
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: Vidor | Statement: [King Vidor, familyName, Vidor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vidor Context triple: [King Vidor, familyName, Vidor]
-
A.
Vidor
chosen
Vidor is a surname most notably associated with King Vidor, an influential American film director of the early to mid-20th century.
-
B.
Monte Hellman
Monte Hellman was an American film director and producer best known for his influential low-budget cult classics, including the road movie "Two-Lane Blacktop."
-
C.
Samuel Fuller
Samuel Fuller was an English physician and prominent Pilgrim who sailed on the Mayflower and served as the chief doctor for the Plymouth Colony.
-
D.
Samuel Fuller
Samuel Fuller was an American film director, screenwriter, and novelist known for his hard-hitting, low-budget genre films that often explored themes of war, crime, and social conflict.
-
E.
Tony Bill
Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f488248190b9f603cd31c72174 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.