Triple
T3798618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 50 First Dates |
E91633
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sean Astin |
E46055
|
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 Astin | Statement: [50 First Dates, starring, Sean Astin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Astin Context triple: [50 First Dates, starring, Sean Astin]
-
A.
Sean Astin
chosen
Sean Astin is an American actor best known for his role as Samwise Gamgee in the film adaptations of J.R.R. Tolkien’s "The Lord of the Rings."
-
B.
Chris O'Donnell
Chris O'Donnell is an American actor best known for his film roles in the 1990s and for starring as Special Agent G. Callen on the television series NCIS: Los Angeles.
-
C.
Edward Furlong
Edward Furlong is an American actor best known for his breakout role as John Connor in the film "Terminator 2: Judgment Day."
-
D.
Emilio Estevez
Emilio Estevez is an American actor, director, and writer known for films like "The Breakfast Club," "St. Elmo's Fire," and "The Mighty Ducks" series.
-
E.
Anthony Michael Hall
Anthony Michael Hall is an American actor best known for his roles in 1980s John Hughes films like "The Breakfast Club" and "Sixteen Candles," as well as later television and film work.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a270908190ac30537a22f3d500 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f061a9e481908d16ae0aa44e2f16 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:15 p.m.