Triple
T3642379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dartmouth Big Green women’s lacrosse |
E77217
|
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 women’s lacrosse, nickname, Big Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Green Context triple: [Dartmouth Big Green women’s lacrosse, nickname, Big Green]
-
A.
Big Green
chosen
Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
-
B.
Big Green
Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
-
C.
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.
-
D.
Greenleaf
Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
-
E.
Greenleaf
Greenleaf is a dramatic television series that explores the secrets, scandals, and power struggles within a wealthy African-American megachurch family.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc359a91481908aef1c022f45e55c |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f2e464881909d62dd2fad811a83 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.