Triple
T20201045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears for Fears |
E493217
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Ian Stanley |
—
|
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: Ian Stanley | Statement: [Tears for Fears, hasFormerMember, Ian Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Stanley Context triple: [Tears for Fears, hasFormerMember, Ian Stanley]
-
A.
Ian Stanley
chosen
Ian Stanley is a British musician and songwriter best known as a former keyboardist and co-writer for the band Tears for Fears.
-
B.
Ian J. Turpin
Ian J. Turpin is a Scottish-born businessman and financial executive best known as the husband of Luci Baines Johnson, daughter of former U.S. President Lyndon B. Johnson.
-
C.
Michael Sadleir
Michael Sadleir was a British novelist, biographer, and distinguished bibliographer and publisher, noted for his studies of 19th-century literature and his work with the publishing house Constable & Co.
-
D.
Ian Furner
Ian Furner is an academic known for supervising the doctoral research of prominent plant biologist Dame Ottoline Leyser.
-
E.
Jay Stanley
Jay Stanley is a writer associated with the publication 3AM, known for contributing literary or cultural commentary.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8e0df481909c030e2a01d1862a |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.