Triple
T11992572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tye Sheridan |
E285444
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tye Sheridan |
E285444
|
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: Tye Sheridan | Statement: [Tye Sheridan, name, Tye Sheridan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tye Sheridan Context triple: [Tye Sheridan, name, Tye Sheridan]
-
A.
Tye Sheridan
chosen
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.
-
B.
Mackenzie Astin
Mackenzie Astin is an American actor known for his roles in film and television, including the TV series "The Facts of Life."
-
C.
Mackenzie Foy
Mackenzie Foy is an American actress and model best known for her role as Renesmee Cullen in the Twilight film series and for starring in films such as Interstellar and The Nutcracker and the Four Realms.
-
D.
Aden Young
Aden Young is an Australian actor known for his work in film and television, particularly for his acclaimed lead role in the drama series "Rectify."
-
E.
Wyatt Russell
Wyatt Russell is an American actor and former professional ice hockey player known for roles in films like "22 Jump Street" and the Marvel series "The Falcon and the Winter Soldier."
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.