Triple
T31233571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder Over New York |
E796351
|
entity |
| Predicate | hasFilmSeriesCharacter |
P178008
|
FINISHED |
| Object | Charlie Chan |
—
|
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: Charlie Chan | Statement: [Murder Over New York, hasFilmSeriesCharacter, Charlie Chan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmSeriesCharacter Context triple: [Murder Over New York, hasFilmSeriesCharacter, Charlie Chan]
-
A.
characterInFilmSeries
chosen
Indicates that a character appears in or is part of the cast of a particular film series.
-
B.
filmSeriesCharacterType
Indicates that a character belongs to or appears within a particular film series, specifying the type or role of that character in the series.
-
C.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
D.
filmSeriesProtagonistOf
Indicates that a character serves as the main recurring protagonist of a particular film series.
-
E.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: April 29, 2026, 9:10 p.m.