Triple
T1982500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminator |
E43058
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Kyle Reese |
E21261
|
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: Kyle Reese | Statement: [Terminator, hasMainCharacter, Kyle Reese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Reese Context triple: [Terminator, hasMainCharacter, Kyle Reese]
-
A.
Kyle Reese
chosen
Kyle Reese is a time-traveling resistance fighter from the Terminator franchise, best known as John Connor’s father and protector of Sarah Connor against Skynet’s machines.
-
B.
John Connor
John Connor is the central human resistance leader in the Terminator franchise, destined to lead the fight against Skynet and its machines.
-
C.
Sarah Connor
Sarah Connor is a central protagonist in the Terminator franchise, known as the mother of future resistance leader John Connor and a key figure in humanity's fight against Skynet.
-
D.
Matt Kowalski
Matt Kowalski is a veteran NASA astronaut and spacewalker featured as a central character in the science fiction film "Gravity."
-
E.
Marty
Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb81f5dac8190b5223fe2d59ee0d4 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae032e1f648190acb502b9f82fe8c2 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:37 p.m.