Triple

T17352642
Position Surface form Disambiguated ID Type / Status
Subject George Takei E421853 entity
Predicate name P16 FINISHED
Object George Takei NE ONNED1

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: George Takei | Statement: [George Takei, name, George Takei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Takei
Context triple: [George Takei, name, George Takei]
  • A. George Takei chosen
    George Takei is an American actor, author, and activist best known for his role as Hikaru Sulu in the original Star Trek television series and films.
  • B. 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."
  • C. Richard Hashimoto
    Richard Hashimoto is a film producer best known for his work on the 1988 dark comedy-fantasy movie "Beetlejuice."
  • D. 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.
  • E. Richard Aoki
    Richard Aoki was a prominent Japanese American activist and member of the Black Panther Party known for his influential role in Asian American and Third World liberation movements during the 1960s and 1970s.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2dae648190b7f3487919a446af completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955a50dc819090c1a0ec111d9fc0 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.