Triple
T7661661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great hornbill |
E173519
|
entity |
| Predicate | maleRole |
P69451
|
FINISHED |
| Object | feeds female and chicks through nest slit |
—
|
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: feeds female and chicks through nest slit | Statement: [Great hornbill, maleRole, feeds female and chicks through nest slit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleRole Context triple: [Great hornbill, maleRole, feeds female and chicks through nest slit]
-
A.
maleCalled
Indicates that a male individual is referred to or named by a particular name or label.
-
B.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
C.
isMaleCharacter
Indicates that the referenced character is identified as male.
-
D.
hasGenderRole
chosen
Indicates that an entity is associated with, or expected to perform, a particular socially defined gender-based role or set of behaviors.
-
E.
playsGender
Indicates that one entity performs or assumes a particular gender role or identity in a given 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.