Triple
T19201401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Tractor |
E470115
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kate Pierson |
—
|
NE NERFINISHED |
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: Kate Pierson | Statement: [Love Tractor, hasMember, Kate Pierson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Pierson Context triple: [Love Tractor, hasMember, Kate Pierson]
-
A.
Kate Pierson
chosen
Kate Pierson is an American singer, songwriter, and multi-instrumentalist best known as a founding member and distinctive lead and backing vocalist of the new wave band The B-52s.
-
B.
Christina Pierson
Christina Pierson is an individual notable enough to be recognized as a prominent bearer of the surname Pierson.
-
C.
Charlotte Kaletta
Charlotte Kaletta was the long-time partner of Fritz Pfeffer, the German-Jewish dentist who hid with Anne Frank and others in the Secret Annex during World War II.
-
D.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
-
E.
Kate Forte
Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f9991ba48190ab92805daec3877b |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 12:07 p.m.