Triple
T6586188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Gibbs |
E159230
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Althea & Donna |
E604011
|
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: Althea & Donna | Statement: [Joe Gibbs, collaboratedWith, Althea & Donna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Althea & Donna Context triple: [Joe Gibbs, collaboratedWith, Althea & Donna]
-
A.
Althea & Donna
chosen
Althea & Donna were a Jamaican female reggae duo best known for their 1977 hit single "Uptown Top Ranking."
-
B.
The Kinsella Sisters
The Kinsella Sisters is a novel by Irish author Kate Thompson, likely centered on the intertwined lives and relationships of a group of sisters.
-
C.
The Kanker Sisters
The Kanker Sisters are a trio of antagonistic, obsessive girls in the animated series "Ed, Edd n Eddy," known for relentlessly pursuing and harassing the three main boys.
-
D.
Donna Dixon
Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
-
E.
Donna
Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeae89308190a26cf090a9b6cf2b |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42b72c481909f582f4f5b07e3d9 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:54 p.m.