Triple
T8801008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylar |
E209404
|
entity |
| Predicate | meetsCharacter |
P1220
|
FINISHED |
| Object | Sean Maguire |
E233070
|
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: Sean Maguire | Statement: [Skylar, meetsCharacter, Sean Maguire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Maguire Context triple: [Skylar, meetsCharacter, Sean Maguire]
-
A.
Sean Maguire
chosen
Sean Maguire is the compassionate, tough-minded therapist and widowed professor who mentors Will Hunting in the film "Good Will Hunting."
-
B.
Aidan McRory
Aidan McRory is a British big-game hunter and explorer who becomes entangled in the lives of two tiger cubs in the film "Two Brothers."
-
C.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
D.
Tom Maguire
Tom Maguire was a British socialist and trade union organizer active in the late 19th century, known for his role in the early socialist movement in England.
-
E.
Seamus McGarvey
Seamus McGarvey is an acclaimed Irish cinematographer known for his visually striking work on major films such as Atonement, Avengers Assemble, and Godzilla (2014).
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb8aab88190befed16301e08efc |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054339b988190849092f178a7af2c |
completed | April 3, 2026, 11:58 p.m. |
Created at: March 30, 2026, 6:44 p.m.