Triple
T1493115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osphranter rufus |
E29625
|
entity |
| Predicate | maleCommonName |
P5962
|
FINISHED |
| Object | boomer |
—
|
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: boomer | Statement: [Osphranter rufus, maleCommonName, boomer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleCommonName Context triple: [Osphranter rufus, maleCommonName, boomer]
-
A.
maleCalled
chosen
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.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
D.
namedForGender
Indicates that one entity is named in a way that reflects or is derived from a particular gender or gender-related characteristic of another entity.
-
E.
malesOftenHave
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c665488190ae665f7a1b0563f5 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.