Triple
T5141762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spock |
E115969
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Ethan Peck |
E471068
|
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: Ethan Peck | Statement: [Spock, portrayedBy, Ethan Peck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Peck Context triple: [Spock, portrayedBy, Ethan Peck]
-
A.
Ethan Peck
chosen
Ethan Peck is an American actor best known for portraying Spock in the television series "Star Trek: Strange New Worlds."
-
B.
Ferdia Walsh-Peelo
Ferdia Walsh-Peelo is an Irish actor and musician best known for his breakout role in the film "Sing Street" and his performance in the Academy Award–winning drama "CODA."
-
C.
Jeremy Irvine
Jeremy Irvine is an English actor best known for his breakout role in Steven Spielberg’s "War Horse" and subsequent performances in films such as "The Railway Man."
-
D.
Brenton Thwaites
Brenton Thwaites is an Australian actor known for roles in films such as "The Giver," "Pirates of the Caribbean: Dead Men Tell No Tales," and the TV series "Titans."
-
E.
Toby Huss
Toby Huss is an American actor and voice actor known for his character roles in film and television, including work on series like "King of the Hill" and "Halt and Catch Fire."
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787ff1c081909a6954aa76e12cbf |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfe7370c8190a47070487b461114 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.