Triple
T9672311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bos |
E234057
|
entity |
| Predicate | infraorder |
P8590
|
FINISHED |
| Object | Pecora |
E223412
|
NE 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: Pecora | Statement: [Bos, infraorder, Pecora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pecora Context triple: [Bos, infraorder, Pecora]
-
A.
Pecora
chosen
Pecora is a major infraorder of ruminant mammals that includes deer, giraffes, bovids (such as cattle, goats, and antelopes), and related horned or antlered species.
-
B.
Moniz
Moniz is a Portuguese surname borne by various notable figures in Portugal’s cultural and public life.
-
C.
Wetmore
Wetmore is a surname of English origin borne by various notable individuals, including American architect and acting Supervising Architect of the U.S. Treasury James A. Wetmore.
-
D.
Fisher
Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
-
E.
Pianka
Pianka is the surname of Eric R. Pianka, an influential American ecologist known for his work on lizard ecology and evolutionary biology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a28d1c481908737992466d35fdd |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.