Triple
T2124967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elemental |
E46403
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Peter Sohn |
E77016
|
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: Peter Sohn | Statement: [Elemental, storyBy, Peter Sohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Sohn Context triple: [Elemental, storyBy, Peter Sohn]
-
A.
Peter Sohn
chosen
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
B.
Cho Sang-woo
Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
-
C.
Lee Hak-rae
Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
-
D.
O Yeong-su
O Yeong-su is a veteran South Korean actor best known internationally for his acclaimed performance as the elderly contestant Oh Il-nam in the Netflix series "Squid Game."
-
E.
Hwang Jun-ho
Hwang Jun-ho is a determined police officer in the South Korean series "Squid Game" who infiltrates the deadly competition to uncover the truth behind its operations and find his missing brother.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d8e61d48190af0becdc5a040cd9 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:44 p.m.