Triple
T11447891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell's Angels |
E271310
|
entity |
| Predicate | wasOneOfMostExpensiveFilmsOf |
P99336
|
FINISHED |
| Object | early sound era |
—
|
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: early sound era | Statement: [Hell's Angels, wasOneOfMostExpensiveFilmsOf, early sound era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOneOfMostExpensiveFilmsOf Context triple: [Hell's Angels, wasOneOfMostExpensiveFilmsOf, early sound era]
-
A.
formerHighestGrossingFilm
Indicates that a film once held, but no longer holds, the record for the highest box-office gross.
-
B.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
C.
hasBoxOffice
Indicates that an entity (typically a film or performance) has a specific box office revenue amount or record associated with it.
-
D.
finalFilmBy
Indicates that a given film is the last movie directed, produced, or otherwise primarily created by a particular person or entity in their career or filmography.
-
E.
servedInTheatres
Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d800115af08190bba53dd3ff561ca1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.