Triple
T15781419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Groves |
E382624
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Groves |
E382624
|
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: James Groves | Statement: [James Groves, name, James Groves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Groves Context triple: [James Groves, name, James Groves]
-
A.
James Groves
chosen
James Groves is a person notable enough to be specifically cited as a bearer of the surname Groves.
-
B.
Thomas Turgoose
Thomas Turgoose is an English actor best known for his breakthrough role in the film "This Is England" and subsequent work in British independent cinema.
-
C.
Rupert Graves
Rupert Graves is a British actor best known for his film and television work, including his role as DI Lestrade in the BBC series "Sherlock."
-
D.
Daniel Mays
Daniel Mays is a British actor known for his versatile character roles in film and television, including prominent performances in projects like "Line of Duty," "Ashes to Ashes," and "Rogue One: A Star Wars Story."
-
E.
Ian Hanmore
Ian Hanmore is a Scottish character actor known for his work in British film and television, including roles in series like Game of Thrones and Doctor Who.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232399008190b23dfaec237563ef |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:48 a.m.