Triple
T12588055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dartmouth Big Green athletics |
E300518
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Big Green |
E147371
|
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: Big Green | Statement: [Dartmouth Big Green athletics, nickname, Big Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Green Context triple: [Dartmouth Big Green athletics, nickname, Big Green]
-
A.
Big Green
Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
-
B.
Big Green
Big Green is a nonprofit organization focused on building learning gardens and promoting healthy eating and food literacy in schools and communities.
-
C.
Big Green
chosen
Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
-
D.
The Big Green
The Big Green is a 1995 family sports comedy film about a ragtag youth soccer team in small-town Texas, starring Steve Guttenberg and Olivia d'Abo.
-
E.
Baggy Greens
Baggy Greens is the traditional nickname for the Australian national cricket team, derived from the iconic dark green caps worn by its players.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:05 p.m.