Triple
T15017600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preachers (resistance group) |
E377995
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Jake Simmonds |
E382596
|
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: Jake Simmonds | Statement: [Preachers (resistance group), member, Jake Simmonds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Simmonds Context triple: [Preachers (resistance group), member, Jake Simmonds]
-
A.
Jake Simmonds
chosen
Jake Simmonds is a character from the Doctor Who universe who appears in the two-part story involving the rise of the Cybermen in a parallel Earth.
-
B.
Greg Simmonds
Greg Simmonds is a wealthy and influential arms dealer who becomes the target of a covert espionage operation in the action-comedy film "Operation Fortune: Ruse de Guerre."
-
C.
Michael Simmonds
Michael Simmonds is an American cinematographer known for his work on independent films and collaborations with director Sean Baker.
-
D.
Jay Simms
Jay Simms was an American screenwriter best known for his work on mid-20th-century science fiction and genre films.
-
E.
Michael Simmons
Michael Simmons is a relatively common personal name shared by multiple individuals across fields such as sports, business, and the arts, rather than referring to one singular widely recognized figure.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7633fcc8190b2231f43252bc46f |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5ae816c8190a36abb46bbdaad7b |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:55 a.m.