Triple
T22542286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence the Ram |
E557323
|
entity |
| Predicate | representsTeamNickname |
P30501
|
FINISHED |
| Object | Rams |
—
|
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: Rams | Statement: [Clarence the Ram, representsTeamNickname, Rams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rams Context triple: [Clarence the Ram, representsTeamNickname, Rams]
-
A.
Rams
chosen
The Rams are the athletic teams representing Colorado State University in NCAA Division I sports.
-
B.
Rams
The Rams are the sports teams representing King Country, commonly known by this nickname in regional competitions.
-
C.
Rams
Rams is the nickname of the Adelaide Rams, a former professional rugby league team based in Adelaide, South Australia.
-
D.
Rams
Rams is a 2020 Australian comedy-drama film starring Sam Neill as one of two estranged sheep-farming brothers forced to work together to save their flocks from a devastating disease outbreak.
-
E.
Rams
The Rams are the athletic teams representing the University of Mobile, with the nickname commonly used for the school's baseball program and other sports.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f330a40819098df6a9b0f27635e |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.