Triple
T37295760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsáchila culture |
E925796
|
entity |
| Predicate | hairStyleFunction |
P74257
|
FINISHED |
| Object | identity marker |
—
|
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: identity marker | Statement: [Tsáchila culture, hairStyleFunction, identity marker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairStyleFunction Context triple: [Tsáchila culture, hairStyleFunction, identity marker]
-
A.
hairStyleLater
Indicates that one entity’s hairstyle occurs or is observed at a later time than another entity’s hairstyle.
-
B.
hairStyleInPSA
Indicates that an entity has a particular hairstyle as depicted in a specific public service announcement (PSA).
-
C.
hairStyleAtStart
Indicates that it specifies the hairstyle an entity has at the beginning of a defined event or time interval.
-
D.
hairStyleForRole
Indicates that a particular hairstyle is designated or used for a specific role or character.
-
E.
hairAsSymbol
chosen
Indicates that hair functions as a symbolic element representing ideas, traits, or meanings beyond its literal physical presence.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.