Triple
T3884194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertigo |
E92898
|
entity |
| Predicate | AFI100Years100Movies2007Rank |
P26960
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Vertigo, AFI100Years100Movies2007Rank, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AFI100Years100Movies2007Rank Context triple: [Vertigo, AFI100Years100Movies2007Rank, 9]
-
A.
AFIList
chosen
Indicates that an entity is included in a specific AFI (American Film Institute) list or ranking.
-
B.
AFI25MusicalsRanking
Indicates the ranking position of a musical film within the American Film Institute's list of top 25 movie musicals.
-
C.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
D.
imdbTop250Status
Indicates whether an item is included in, or what its standing is within, IMDb’s Top 250 list.
-
E.
formerHighestGrossingFilm
Indicates that a film once held, but no longer holds, the record for the highest box-office gross.
- F. None of above.
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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec9029908190a7b36a3827734db1 |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.