Triple
T556054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Fox |
E11942
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | James Fox |
E78559
|
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 Fox | Statement: [Edward Fox, relative, James Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Fox Context triple: [Edward Fox, relative, James Fox]
-
A.
Edward Fox
Edward Fox is an English actor renowned for his roles in films such as "The Day of the Jackal" and "A Bridge Too Far."
-
B.
Luke Foxe
Luke Foxe was a 17th-century English explorer and navigator known for his Arctic voyages in search of the Northwest Passage.
-
C.
Laurence Fox
chosen
Laurence Fox is an English actor and political activist known for his role in the TV series "Lewis" and for his outspoken, often controversial public commentary.
-
D.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
E.
Hugh Frayne
Hugh Frayne was an American labor leader and union official who played a significant role in coordinating labor relations and production during World War I.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991ef9b0819092ec0407270373f4 |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927a25b081909b553fe3a486e84a |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:32 p.m.