Triple
T18527337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puma |
E452750
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Felis |
—
|
NE NERFINISHED |
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: Felis | Statement: [Puma, relatedTo, Felis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felis Context triple: [Puma, relatedTo, Felis]
-
A.
Felis
chosen
Felis is a genus of small to medium-sized cats that includes the domestic cat and several closely related wild species.
-
B.
Gatti
Gatti is an Italian surname shared by various notable individuals, including conductor Daniele Gatti.
-
C.
Katter
Katter is an Australian political family name most prominently associated with Bob Katter Jr., a long-serving federal politician and founder of Katter's Australian Party.
-
D.
Catiti
Catiti was a Tewa religious leader and key organizer of the 1680 Pueblo Revolt against Spanish colonial rule in present-day New Mexico.
-
E.
Gato
Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533f9bd1081909743b24e290b7dfe |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.