Triple
T6199679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seann William Scott |
E138597
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Seann |
E90618
|
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: Seann | Statement: [Seann William Scott, givenName, Seann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seann Context triple: [Seann William Scott, givenName, Seann]
-
A.
Seán
chosen
Seán is the Irish form of the given name John, commonly used as a male first name in Ireland.
-
B.
Seamus
Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
-
C.
Declan Quinn
Declan Quinn is an American cinematographer known for his work on independent and art-house films, including collaborations with directors like Neil Jordan and Jim Jarmusch.
-
D.
Conor O'Malley
Conor O'Malley is the young boy protagonist of Patrick Ness's novel "A Monster Calls," who struggles with his mother's illness and his own complex emotions as he is visited by a mysterious monster.
-
E.
Ace Lannigan
Ace Lannigan is a character from the 1940 Bing Crosby and Bob Hope comedy film "Road to Singapore."
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06253534c8190aafe70a6cf5a67ec |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f302984819089c6a17dda476a4b |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:20 p.m.