Triple
T18138498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European rabbit |
E434197
|
entity |
| Predicate | adultMaleName |
P5962
|
FINISHED |
| Object | buck |
—
|
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: buck | Statement: [European rabbit, adultMaleName, buck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adultMaleName Context triple: [European rabbit, adultMaleName, buck]
-
A.
maleCalled
chosen
Indicates that a male individual is referred to or named by a particular name or label.
-
B.
patriarchalName
Indicates that one entity bears a name derived from or assigned according to a patriarchal (male-line or father-based) naming convention in relation to another entity.
-
C.
maleLargerThan
Indicates that the male individual in a pair is larger in size than the corresponding female or other compared individual.
-
D.
genderedFamilyName
Indicates that a family name is specifically associated with, or varies according to, a particular gender.
-
E.
maleLeadActor
Indicates that the subject is the primary male actor in a performance or production.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0993e88190b19c5cb35a6d252d |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.