Triple
T25703406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belinda |
E644522
|
entity |
| Predicate | hairDescribedAs |
P16252
|
FINISHED |
| Object | shining ringlets |
—
|
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: shining ringlets | Statement: [Belinda, hairDescribedAs, shining ringlets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairDescribedAs Context triple: [Belinda, hairDescribedAs, shining ringlets]
-
A.
hairType
Indicates the specific kind or category of hair an entity has, such as its texture, style, or structural type.
-
B.
hairDetail
chosen
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
-
C.
hasHair
Indicates that an entity possesses hair as a physical attribute.
-
D.
hairLengthOftenNoted
Indicates that an entity’s hair length is frequently remarked upon or specifically noted in descriptions or observations.
-
E.
hairAsSymbol
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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0f911c819083ea7748550df1d0 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 8:59 p.m.