Triple
T5944305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Sinatra |
E132240
|
entity |
| Predicate | marriagePartner |
P13
|
FINISHED |
| Object | Wes Farrell |
E559542
|
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: Wes Farrell | Statement: [Tina Sinatra, marriagePartner, Wes Farrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Farrell Context triple: [Tina Sinatra, marriagePartner, Wes Farrell]
-
A.
Wes Farrell
chosen
Wes Farrell was an American songwriter and record producer best known for co-writing numerous pop hits in the 1960s and 1970s, including “Hang On Sloopy.”
-
B.
Chris MacFarland
Chris MacFarland is an NHL executive who serves as the general manager of the Colorado Avalanche, overseeing the team's hockey operations and roster decisions.
-
C.
Nate Farley
Nate Farley is an American rock guitarist best known for his work in the indie and alternative scenes, including his tenure with The Breeders.
-
D.
Oakes Fegley
Oakes Fegley is an American actor best known for his leading roles as a child and teen in films such as "Pete's Dragon" and "The Goldfinch."
-
E.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03937b4a88190819a1fd63fc3d3ed |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108269e6081909fcb6b880fc92011 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:01 p.m.