Triple
T8030709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Hutton |
E186970
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Will |
E3364
|
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: Will | Statement: [Will Hutton, givenName, Will]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Context triple: [Will Hutton, givenName, Will]
-
A.
Will
chosen
Will is a common shortened form of the given name William, frequently used as a familiar or informal first name.
-
B.
Wills
Wills is a surname most notably associated with Childe Harold Wills, an early automotive engineer and key collaborator of Henry Ford in the development of the Model T.
-
C.
Wills
Wills is an Indian cigarette brand historically known for its prominent sponsorship of major cricket tournaments and events.
-
D.
Wil
Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
-
E.
True Will
True Will is Aleister Crowley’s central occult concept describing an individual’s unique, divinely aligned purpose or path in life, discovered and followed through Thelemic spiritual practice.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eef921081908d0ea21f142c175a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e812dc81908916fc7163ae344a |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.