Triple
T10368746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-Men: First Class |
E244319
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Lucas Till |
E798623
|
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: Lucas Till | Statement: [X-Men: First Class, leadActor, Lucas Till]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucas Till Context triple: [X-Men: First Class, leadActor, Lucas Till]
-
A.
Lucas Till
chosen
Lucas Till is an American actor best known for roles in projects like the X-Men film series and the TV reboot of MacGyver.
-
B.
Lucas Grabeel
Lucas Grabeel is an American actor and singer best known for playing Ryan Evans in Disney's High School Musical film series.
-
C.
John Boyega
John Boyega is a British actor and producer best known for his role as Finn in the Star Wars sequel trilogy.
-
D.
Noah Schnapp
Noah Schnapp is an American actor best known for playing Will Byers in the Netflix science-fiction horror series "Stranger Things."
-
E.
Tye Sheridan
Tye Sheridan is an American actor known for roles in films such as Mud, Ready Player One, and the X-Men series, where he portrays the young Cyclops.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79550b2ec8190ada086ddfeb398af |
completed | April 9, 2026, 12:02 p.m. |
Created at: April 6, 2026, 12:01 p.m.