Triple
T15036064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Saward |
E378479
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eric Saward |
E378479
|
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: Eric Saward | Statement: [Eric Saward, name, Eric Saward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Saward Context triple: [Eric Saward, name, Eric Saward]
-
A.
Eric Saward
chosen
Eric Saward is a British television writer and script editor best known for his work on the classic science fiction series Doctor Who during the 1980s.
-
B.
Keith Scholey
Keith Scholey is a British wildlife filmmaker and producer known for creating and overseeing major nature documentaries, including the acclaimed series Our Planet.
-
C.
Greg Mathieson
Greg Mathieson is an American keyboardist, composer, and producer known for his work in jazz, fusion, and pop music, collaborating with numerous prominent artists.
-
D.
Michael Buckland
Michael Buckland is an American information scientist and librarian known for his influential work on information retrieval, library services, and the theory of information systems.
-
E.
Michael Wetherall
Michael Wetherall is a central character in John Stephens' fantasy series "The Books of Beginning," playing a key role in the magical adventures that drive the story.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b340900819093aa210b702f124b |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 2:59 a.m.