Triple
T16053262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitch |
E389407
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Troy Takaki |
E658817
|
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: Troy Takaki | Statement: [Hitch, editedBy, Troy Takaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Takaki Context triple: [Hitch, editedBy, Troy Takaki]
-
A.
Troy Takaki
chosen
Troy Takaki is a film editor known for his work on feature films and television projects, including the gymnastics comedy-drama "Stick It."
-
B.
Kazuo Okada
Kazuo Okada is a Japanese billionaire businessman and casino magnate known for founding Universal Entertainment and developing major gaming and resort properties in Asia.
-
C.
Todd Yasui
Todd Yasui is a television producer best known for his work as an executive producer on Jerry Seinfeld’s web series "Comedians in Cars Getting Coffee."
-
D.
Yukio Tani
Yukio Tani was a pioneering early 20th-century Japanese jujutsu and judo expert who helped introduce and popularize these martial arts in the United Kingdom.
-
E.
Frank H. Ogawa
Frank H. Ogawa was a Japanese American civil rights leader and longtime Oakland city council member who became a prominent advocate for social justice and community development.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1836365688190b182f29bbb66127e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe2d87c8190ba7f16feb018e70c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.