Triple
T38283214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Zissou |
E1022131
|
entity |
| Predicate | hasComposerInStoryWorld |
P204578
|
FINISHED |
| Object | Pelé dos Santos |
E2266978
|
NE 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: Pelé dos Santos | Statement: [Team Zissou, hasComposerInStoryWorld, Pelé dos Santos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposerInStoryWorld Context triple: [Team Zissou, hasComposerInStoryWorld, Pelé dos Santos]
-
A.
hasCoComposer
Indicates that an entity shares authorship of a musical composition with one or more other composers.
-
B.
hasKnownComposer
Indicates that the work is associated with a composer whose identity is known and specified.
-
C.
hasComposerOfTheme
Indicates that an entity serves as the composer responsible for creating the musical theme associated with another entity.
-
D.
hasComposerInResidence
Indicates that an organization or institution has officially appointed a specific composer to serve in a resident or ongoing compositional role.
-
E.
hasComposerInterestIn
Indicates that a composer has an interest in, or is thematically or creatively engaged with, a particular subject, style, or domain.
- F. None of above. chosen
Provenance (5 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41c27012c88190bfe5f333d3af040a |
completed | June 29, 2026, 12:55 a.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.