Triple
T38291314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulie |
E1022368
|
entity |
| Predicate | characterInFilmLanguage |
P131525
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Paulie, characterInFilmLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInFilmLanguage Context triple: [Paulie, characterInFilmLanguage, English]
-
A.
characterInFilmReleasedIn
Indicates that a character appears in a film that was released in a specified year or time period.
-
B.
speaksInFilm
chosen
Indicates that a person or character provides spoken dialogue or voice work within a particular film.
-
C.
characterInFilmSeries
Indicates that a character appears in or is part of the cast of a particular film series.
-
D.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
E.
basedInFilmLanguage
Indicates that something is created, presented, or expressed using the language employed in a particular film.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
Created at: May 3, 2026, 4:30 p.m.