Triple
T16779379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoko |
E407816
|
entity |
| Predicate | interactsWithCharacter |
P12142
|
FINISHED |
| Object | Nathan Bateman |
E391216
|
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: Nathan Bateman | Statement: [Kyoko, interactsWithCharacter, Nathan Bateman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Bateman Context triple: [Kyoko, interactsWithCharacter, Nathan Bateman]
-
A.
Nathan Bateman
chosen
Nathan Bateman is the reclusive, manipulative tech billionaire and AI creator in the science fiction film "Ex Machina."
-
B.
Nathan Bexton
Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
-
C.
Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
-
D.
Nathan Gardner
Nathan Gardner is a person known primarily as a relative of Susan Gardner.
-
E.
Nathan Morgan
Nathan Morgan is the birth name of Nathan Drake, the adventurous treasure-hunting protagonist of the Uncharted video game series.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21401b881909bbbc7382e851a90 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b287a96c8190a16d7c76d05be106 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:22 a.m.