Triple
T3589734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrison |
E75996
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Rodney Harrison |
E286022
|
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: Rodney Harrison | Statement: [Harrison, hasNotableBearer, Rodney Harrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney Harrison Context triple: [Harrison, hasNotableBearer, Rodney Harrison]
-
A.
Rodney Harrison
chosen
Rodney Harrison is a former NFL safety best known for his hard-hitting play with the San Diego Chargers and New England Patriots and later work as a football analyst on NBC.
-
B.
Rodney Harris
Rodney Harris is an American politician serving as the mayor of Miami Gardens, Florida.
-
C.
Champ Bailey
Champ Bailey is a Pro Football Hall of Fame cornerback widely regarded as one of the greatest defensive backs in NFL history.
-
D.
Howie Long
Howie Long is a former NFL Hall of Fame defensive end who became a prominent football analyst and television personality.
-
E.
Lawrence Taylor
Lawrence Taylor is a legendary former NFL linebacker widely regarded as one of the greatest defensive players in football history.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13c9514819096adf60b15016b8b |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44efa419481908f07a9367adc4e42 |
completed | March 13, 2026, 5:52 p.m. |
Created at: March 8, 2026, 3:22 p.m.