Triple
T5107531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuriko Kikuchi |
E115133
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Babel |
E493573
|
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: Babel | Statement: [Yuriko Kikuchi, appearedIn, Babel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babel Context triple: [Yuriko Kikuchi, appearedIn, Babel]
-
A.
Babel
Babel is a 2006 multi-narrative drama film directed by Alejandro González Iñárritu that interweaves interconnected stories across several countries to explore themes of communication, misfortune, and cultural misunderstanding.
-
B.
Babel
Babel is a widely used JavaScript compiler that transforms modern ECMAScript code into backward-compatible versions for older environments and tooling.
-
C.
Babel
chosen
Babel is a notable work by Japanese dancer and choreographer Yuriko Kikuchi (also known as Yuriko), reflecting her influential contributions to modern dance.
-
D.
Daylami
Daylami was a champion Thoroughbred racehorse of the late 1990s, renowned for his versatility over middle and long distances and multiple Group/Grade 1 victories in Europe and North America.
-
E.
Xabûr
Xabûr is the Kurdish name for the Khabur River, a significant tributary of the Tigris in the Middle East.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a8ee7881908876859402911e5a |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec36fe8dc8190a391547043d28e11 |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:41 p.m.