Triple
T21124164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fragment |
E520508
|
entity |
| Predicate | hasPerformer |
P5936
|
FINISHED |
| Object | Ed Simons |
—
|
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: Ed Simons | Statement: [The Fragment, hasPerformer, Ed Simons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Simons Context triple: [The Fragment, hasPerformer, Ed Simons]
-
A.
Ed Simons
chosen
Ed Simons is a British electronic musician best known as one half of the influential big beat duo The Chemical Brothers.
-
B.
David Simmonds
David Simmonds is a British Conservative Party politician and Member of Parliament known for representing a northwest London constituency and his background in local government.
-
C.
Michael Sims
Michael Sims is an American author and essayist known for his works on nature, science, and cultural history.
-
D.
Rob Simonds
Rob Simonds is an American music executive and entrepreneur best known as the founder of the influential independent record label Rykodisc.
-
E.
Jay Simms
Jay Simms was an American screenwriter best known for his work on mid-20th-century science fiction and genre films.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72237c1a4819090987c645114d452 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 2:56 p.m.