Triple
T7830490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pray |
E181352
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stephen Lipson |
E247316
|
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: Stephen Lipson | Statement: [Pray, producer, Stephen Lipson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Lipson Context triple: [Pray, producer, Stephen Lipson]
-
A.
Stephen Lipson
chosen
Stephen Lipson is a British record producer, guitarist, and songwriter known for his work with artists such as Grace Jones, Annie Lennox, and Frankie Goes to Hollywood.
-
B.
Philip Holmes
Philip Holmes is a mathematician and mechanical engineer known for his influential work in dynamical systems, chaos theory, and nonlinear mechanics.
-
C.
Stephen Langridge
Stephen Langridge is a British opera and theatre director known for leading major European opera institutions and for his innovative, often socially engaged productions.
-
D.
Richard Sibson
Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
-
E.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc55eedb9881908aeb6d3276b31b6c |
completed | March 31, 2026, 11:17 p.m. |
Created at: March 30, 2026, 4:44 p.m.