Triple
T32281817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen |
E824714
|
entity |
| Predicate | characterOriginatesIn |
P90667
|
FINISHED |
| Object | Hell's Angels (1930 film) |
—
|
NE NERFINISHED |
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: Hell's Angels (1930 film) | Statement: [Helen, characterOriginatesIn, Hell's Angels (1930 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOriginatesIn Context triple: [Helen, characterOriginatesIn, Hell's Angels (1930 film)]
-
A.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
B.
speciesOriginFranchise
Indicates the fictional franchise or series from which a given species originates.
-
C.
characterAppearsIn
Indicates that a specific character is present or featured within a particular work, such as a book, movie, or episode.
-
D.
originOfCharacter
chosen
Indicates the source or place from which a character originates or is created.
-
E.
characterInFilmSeries
Indicates that a character appears in or is part of the cast of a particular film series.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: May 1, 2026, 12:43 a.m.