Triple
T17977565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | troll dolls |
E449515
|
entity |
| Predicate | typicalHairMaterial |
P129972
|
FINISHED |
| Object | synthetic fiber |
—
|
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: synthetic fiber | Statement: [troll dolls, typicalHairMaterial, synthetic fiber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHairMaterial Context triple: [troll dolls, typicalHairMaterial, synthetic fiber]
-
A.
hairType
Indicates the specific kind or category of hair an entity has, such as its texture, style, or structural type.
-
B.
hasBowHairMaterial
Indicates that an entity’s hair bow is made from a specified material.
-
C.
hasHair
Indicates that an entity possesses hair as a physical attribute.
-
D.
hairDetail
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
-
E.
tailpieceType
Indicates the specific kind or design of tailpiece associated with an instrument or object.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b200e9108190bcdde5ba7938ba94 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.