Triple
T18995090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water for Your Soul |
E464787
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Paul Beard |
—
|
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: Paul Beard | Statement: [Water for Your Soul, performer, Paul Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Beard Context triple: [Water for Your Soul, performer, Paul Beard]
-
A.
Paul Beard
chosen
Paul Beard is a British guitarist and musical director best known for his work with artists such as James Blunt.
-
B.
Matthew Beard
Matthew Beard is a British actor known for his roles in films such as "The Imitation Game" and various television and stage productions.
-
C.
Matt Beard
Matt Beard is an English football manager known for coaching top women’s clubs, including a stint in the National Women's Soccer League with the Boston Breakers.
-
D.
Phil Beauman
Phil Beauman is an American comedy writer and producer best known for his work on parody films and television, including contributions to the hit spoof franchise "Scary Movie."
-
E.
Brian Pippard
Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d680dd2881908a72e732c6b25477 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.