Triple
T32881765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | purple honeycreeper |
E841081
|
entity |
| Predicate | femaleUnderpartsColor |
P26616
|
FINISHED |
| Object | streaked |
—
|
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: streaked | Statement: [purple honeycreeper, femaleUnderpartsColor, streaked]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleUnderpartsColor Context triple: [purple honeycreeper, femaleUnderpartsColor, streaked]
-
A.
femaleUnderparts
Indicates that an entity has underparts (the underside of its body) that are female in characteristic or associated with a female individual.
-
B.
breastColor
Indicates the color or coloration pattern present on an entity’s breast area.
-
C.
colorOfApparel
Indicates the specific color attribute associated with a piece of apparel or clothing item.
-
D.
underpartsColor
chosen
Indicates the color characteristic of the lower surface or underside of an entity’s body.
-
E.
fantasyBraValue
Indicates a relationship where a specific bra size or measurement is assigned to or associated with an entity in a fantasy or non-realistic context.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:18 a.m.