Triple
T25223661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya McQueen |
E632030
|
entity |
| Predicate | hairStyleAtStart |
P158044
|
FINISHED |
| Object | straightened hair |
—
|
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: straightened hair | Statement: [Kenya McQueen, hairStyleAtStart, straightened hair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairStyleAtStart Context triple: [Kenya McQueen, hairStyleAtStart, straightened hair]
-
A.
hairStyleInPSA
Indicates that an entity has a particular hairstyle as depicted in a specific public service announcement (PSA).
-
B.
hairReplacedBy
Indicates that one entity’s hair has been substituted, covered, or superseded by another entity.
-
C.
hairAsSymbol
Indicates that hair functions as a symbolic element representing ideas, traits, or meanings beyond its literal physical presence.
-
D.
hairCutOffBy
Indicates that one entity’s hair is removed or cut off by another entity.
-
E.
hairStyleForRole
Indicates that a particular hairstyle is designated or used for a specific role or character.
- F. None of above. chosen
Provenance (4 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cc166548190898ef3bd661ddb58 |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 1:03 p.m.