Triple
T18138499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European rabbit |
E434197
|
entity |
| Predicate | adultFemaleName |
P130598
|
FINISHED |
| Object | doe |
—
|
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: doe | Statement: [European rabbit, adultFemaleName, doe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adultFemaleName Context triple: [European rabbit, adultFemaleName, doe]
-
A.
femaleAbbreviation
Indicates that one entity is an abbreviation or shortened form specifically denoting a female version of another entity.
-
B.
femaleCommonName
Indicates that the associated name is commonly used as a given name for females.
-
C.
genderedFamilyName
Indicates that a family name is specifically associated with, or varies according to, a particular gender.
-
D.
femaleAddressedAs
Indicates that a female individual is referred to or addressed by a particular name, title, or form of address.
-
E.
replacedByAdultNameOf
Indicates that an entity (typically a child or informal name) is superseded or substituted by a corresponding adult or formal name.
- 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_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. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:29 a.m.