Triple
T14628362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huli people |
E343411
|
entity |
| Predicate | traditionalHeaddress |
P115100
|
FINISHED |
| Object | human hair wigs |
—
|
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: human hair wigs | Statement: [Huli people, traditionalHeaddress, human hair wigs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalHeaddress Context triple: [Huli people, traditionalHeaddress, human hair wigs]
-
A.
traditionalDressVariant
Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
-
B.
traditionalMaskType
Indicates the specific kind or category of traditional mask associated with an entity.
-
C.
obverseHeaddressType
Indicates the type or style of headdress depicted on the obverse (front) side of an object, typically a coin or medal.
-
D.
traditionalHeir
Indicates that one entity is recognized as the customary or culturally designated inheritor or successor of another entity.
-
E.
traditionalPilgrimAttire
Indicates that an entity is wearing or associated with clothing customarily worn by pilgrims in a particular cultural or religious tradition.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.