Triple
T32757454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deauville American Film Festival |
E837665
|
entity |
| Predicate | hasOfficialSelection |
P181273
|
FINISHED |
| Object | feature films |
—
|
LITERAL 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: feature films | Statement: [Deauville American Film Festival, hasOfficialSelection, feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialSelection Context triple: [Deauville American Film Festival, hasOfficialSelection, feature films]
-
A.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
B.
areOfficialIn
Indicates that an entity holds an official role, position, or capacity within another entity (such as an organization, institution, or jurisdiction).
-
C.
hasOfficialRecognition
Indicates that an entity has been formally acknowledged or approved by an authorized body or institution.
-
D.
hasOfficialFilm
Indicates that an entity has an officially recognized film associated with it.
-
E.
isOfficial
Indicates that an entity holds formal, authorized, or government-recognized status in a given context.
- F. None of above. chosen
Provenance (4 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: May 1, 2026, 1:13 a.m.