Triple

T6828675
Position Surface form Disambiguated ID Type / Status
Subject Ochs E157080 entity
Predicate hasNotableBearer P458 FINISHED
Object Michael Ochs E365104 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: Michael Ochs | Statement: [Ochs, hasNotableBearer, Michael Ochs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ochs
Context triple: [Ochs, hasNotableBearer, Michael Ochs]
  • A. Michael Ochs chosen
    Michael Ochs is an American music industry figure and archivist best known for founding the Michael Ochs Archives, a major collection of music photographs and memorabilia.
  • B. Joe Rosenthal
    Joe Rosenthal was an American photojournalist best known for his iconic World War II photograph of U.S. Marines raising the flag on Iwo Jima.
  • C. Alfred Eisenstaedt
    Alfred Eisenstaedt was a renowned German-born American photojournalist best known for his iconic candid images for Life magazine, including the famous Times Square V-J Day kiss photograph.
  • D. Ernst Bernard Haas
    Ernst Bernard Haas was a prominent political scientist known for his pioneering work on regional integration and the theory of neofunctionalism, particularly in the context of European integration.
  • E. Michael Wolf
    Michael Wolf is an actor known for his role in the television series "Embassy."
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6254bd88190a2a424537c2c12e2 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f49bdc8190af39b34dbaf3f0c9 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.