Triple
T9980670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wood the Elder |
E196442
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Wood the Elder |
E196442
|
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: John Wood the Elder | Statement: [John Wood the Elder, name, John Wood the Elder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Wood the Elder Context triple: [John Wood the Elder, name, John Wood the Elder]
-
A.
John Wood the Elder
chosen
John Wood the Elder was an 18th-century English architect renowned for shaping the Georgian cityscape of Bath with his pioneering Palladian designs.
-
B.
John Wood the Younger
John Wood the Younger was an 18th-century English architect best known for his influential Georgian designs in Bath, including the iconic Royal Crescent.
-
C.
John Woodvine
John Woodvine is a British character actor known for his extensive work in television, film, and theatre, often portraying authoritative or military figures.
-
D.
Richard Woodley
Richard Woodley is an author best known for co-writing the true-crime book that inspired the film "Donnie Brasco."
-
E.
John Wood
John Wood was a British character actor known for his distinguished stage and screen career, including roles in films such as "Jumpin' Jack Flash" and "WarGames."
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8b9aca881908a9b5dfd7e0de4ba |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257df420881909edac01b4e331c1e |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:49 p.m.