Triple
T38082940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orang Pendek |
E950901
|
entity |
| Predicate | bodyHair |
P86801
|
FINISHED |
| Object | covered in short dark 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: covered in short dark hair | Statement: [Orang Pendek, bodyHair, covered in short dark hair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyHair Context triple: [Orang Pendek, bodyHair, covered in short dark hair]
-
A.
hairType
Indicates the specific kind or category of hair an entity has, such as its texture, style, or structural type.
-
B.
hasHair
chosen
Indicates that an entity possesses hair as a physical attribute.
-
C.
beardColor
Indicates the color attribute associated with a person's beard.
-
D.
hairDetail
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
-
E.
beardLength
Indicates the measured extent or size of an entity’s beard, typically in units of length.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.