Triple
T3339735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Fulks |
E70227
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fulks |
E70227
|
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: Fulks | Statement: [Joe Fulks, familyName, Fulks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fulks Context triple: [Joe Fulks, familyName, Fulks]
-
A.
Fulks
chosen
Fulks is a surname most notably associated with early professional basketball star Joe Fulks, a pioneering scorer in the Basketball Association of America.
-
B.
Filkins
Filkins is a small rural village in the Cotswolds area of Oxfordshire, England, known for its traditional stone cottages and historic charm.
-
C.
Foles
Foles is the surname of Nick Foles, an American football quarterback best known for leading the Philadelphia Eagles to a Super Bowl LII victory and earning the game's MVP award.
-
D.
Dutchmen
The Dutchmen is the nickname for the athletic teams representing Union College in collegiate sports.
-
E.
Dutchmen
Dutchmen is the nickname and mascot representing the athletic teams of Hope College in Holland, Michigan.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bf1f648190993ac8e9dda60983 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a92555c81909a4769b6ecea5721 |
completed | March 12, 2026, 7:57 p.m. |
Created at: March 8, 2026, 3:12 p.m.