Triple
T6189393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Redgrave |
E138147
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Rachel Kempson |
E233288
|
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: Rachel Kempson | Statement: [Vanessa Redgrave, parent, Rachel Kempson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Kempson Context triple: [Vanessa Redgrave, parent, Rachel Kempson]
-
A.
Rachel Kempson
chosen
Rachel Kempson was an English actress and matriarch of the Redgrave acting family, known for her extensive stage and film career.
-
B.
Christine Kemp
Christine Kemp was the wife of Norwegian mathematician Niels Henrik Abel, known primarily through her association with his short and influential life.
-
C.
Cathy Jennings
Cathy Jennings is the longtime wife of American actor and voice actor Patrick Warburton.
-
D.
Cheryl Edwards
Cheryl Edwards is a screenwriter best known for her work on the film "In the Mix."
-
E.
Ellise Chappell
Ellise Chappell is an English actress known for her roles in film and television, including the romantic comedy "Yesterday" and the period drama series "Poldark."
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518f798d8819080f5dc1bb988b3df |
completed | March 26, 2026, 11:31 a.m. |
Created at: March 22, 2026, 4:19 p.m.