Triple
T12907140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pump |
E308755
|
entity |
| Predicate | mainSongwriter |
P1141
|
FINISHED |
| Object | Holly Knight |
E733314
|
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: Holly Knight | Statement: [Pump, mainSongwriter, Holly Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holly Knight Context triple: [Pump, mainSongwriter, Holly Knight]
-
A.
Holly Knight
chosen
Holly Knight is an American songwriter and musician renowned for penning numerous 1980s rock and pop hits for artists such as Tina Turner, Pat Benatar, and Heart.
-
B.
Shirley Mitchell
Shirley Mitchell was an American character actress best known for her comedic roles in classic radio and television shows such as "I Love Lucy."
-
C.
Betsy Garth
Betsy Garth is a central character in the Western television series "The Virginian," known for her close connection to the Shiloh Ranch and its core cast.
-
D.
Sandy Owens
Sandy Owens is a central character in the 1950 Western film "Wagon Master," portrayed as one of the key figures in the story of a wagon train journey across the American frontier.
-
E.
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.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719d4d1c8190a2c4f362e1772a73 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a565ce508190a73f33708e61dc7d |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.