Triple
T9696468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middlesex Guildhall |
E234665
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | James Gibson |
E234659
|
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 Gibson | Statement: [Middlesex Guildhall, architect, James Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Gibson Context triple: [Middlesex Guildhall, architect, James Gibson]
-
A.
James Gibson
chosen
James Gibson was a British architect best known for designing the Middlesex Guildhall in London, now home to the Supreme Court of the United Kingdom.
-
B.
James Gibson
James Gibson was an American politician who served as a Canal Commissioner in New York State, helping oversee the development and management of its canal system.
-
C.
James Gibson
James Gibson is a screenwriter best known for his work on the crime drama film "Never Die Alone."
-
D.
James J. Gibson
James J. Gibson was an influential American psychologist best known for developing the ecological approach to visual perception and the concept of affordances.
-
E.
Marc Levoy
Marc Levoy is a prominent computer scientist and pioneer in computer graphics and computational photography, known for influential research, teaching, and contributions to digital imaging technologies.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3a88788190a4235a1ab33341ec |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f7cecd0819081929611b7881102 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:18 p.m.