Triple
T20816608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolero (1984 film) |
E512454
|
entity |
| Predicate | titleCharacterName |
P36851
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Bolero (1984 film), titleCharacterName, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterName Context triple: [Bolero (1984 film), titleCharacterName, none]
-
A.
titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
-
B.
characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
-
C.
characterName
chosen
Indicates that an entity has a specific name used to identify its character.
-
D.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
-
E.
protagonistTitle
Indicates that one entity is the title or designation held by the main or central character (protagonist) of a work or narrative.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f3473c81908c43a2ec242b1acd |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.