Triple
T18166736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Ridgeley |
E434913
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Keren Woodward |
—
|
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: Keren Woodward | Statement: [Andrew Ridgeley, partner, Keren Woodward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keren Woodward Context triple: [Andrew Ridgeley, partner, Keren Woodward]
-
A.
Keren Woodward
chosen
Keren Woodward is an English singer and founding member of the pop group Bananarama, known for hits in the 1980s such as "Cruel Summer" and "Venus."
-
B.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
C.
Keri Johnson
Keri Johnson is a fictional character appearing in the horror film "The Wraith."
-
D.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
-
E.
Diane Coulston
Diane Coulston is a teenage schoolgirl in the film "T2 Trainspotting," known for her past relationship with protagonist Mark Renton and her sharp, grounded perspective on the aging former heroin users.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec7e41c8190bd19dc5f62c69608 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.