Triple
T4412890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Snow |
E94891
|
entity |
| Predicate | grandsire |
P979
|
FINISHED |
| Object | Exceed And Excel |
E438827
|
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: Exceed And Excel | Statement: [Thunder Snow, grandsire, Exceed And Excel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exceed And Excel Context triple: [Thunder Snow, grandsire, Exceed And Excel]
-
A.
Exceed And Excel
chosen
Exceed And Excel is a champion Australian-bred Thoroughbred racehorse and highly influential sire known for producing top-class sprinters worldwide.
-
B.
Excellence in Action
Excellence in Action is the official motto of Nanyang Technological University, encapsulating its emphasis on high performance, impact, and continuous improvement in education and research.
-
C.
Over and Above
Over and Above is a novel by American author Laura Z. Hobson, best known for exploring social issues and personal relationships in mid-20th-century America.
-
D.
Aim High
"Aim High" is a song by John Legend from his R&B album *Love in the Future*.
-
E.
Xcelence
Xcelence is a music producer known for creating the track "Follow God."
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35640269c8190a88fc6b59070561b |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627eb49308190a6830cbc52ad45cf |
completed | March 15, 2026, 3:30 a.m. |
Created at: March 12, 2026, 11:29 p.m.