Triple
T3762715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hideki Matsui |
E82599
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hideki |
E99818
|
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: Hideki | Statement: [Hideki Matsui, givenName, Hideki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hideki Context triple: [Hideki Matsui, givenName, Hideki]
-
A.
Hideki
chosen
Hideki is a Japanese given name most famously borne by theoretical physicist Hideki Yukawa, the first Japanese Nobel Prize laureate.
-
B.
Hiroo
Hiroo is an upscale residential and shopping district in central Tokyo known for its international community, embassies, cafes, and boutiques.
-
C.
Nagahiro
Nagahiro is a Japanese given name that can be used for male individuals.
-
D.
Heihachiro
Heihachiro is a masculine Japanese given name most famously borne by Admiral Tōgō Heihachirō, a celebrated naval commander of the Imperial Japanese Navy.
-
E.
Shigeru
Shigeru is a Japanese given name commonly used for men.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfa44ac819082f2c895d96c9170 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f034ce008190bcae03916cfa588e |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:35 p.m.