Triple
T31352408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Flag |
E799632
|
entity |
| Predicate | RebeccaColeRole |
P45538
|
FINISHED |
| Object | keyboardist |
—
|
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: keyboardist | Statement: [Wild Flag, RebeccaColeRole, keyboardist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RebeccaColeRole Context triple: [Wild Flag, RebeccaColeRole, keyboardist]
-
A.
collaboratorRole
chosen
Indicates the specific function, position, or capacity in which one collaborator participates in a shared activity or project with another.
-
B.
roleForCosette
Indicates that something serves as or represents a specific role assigned to Cosette.
-
C.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
D.
roleColinMorgan
Indicates that an entity has the role or character portrayed by Colin Morgan in a given context or work.
-
E.
relationshipTypeWithColeLockhart
Indicates the specific nature or category of the relationship that an entity has with Cole Lockhart.
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f431c5081908fe6506e34d1ecb5 |
completed | May 3, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:17 p.m.