Triple

T4255728
Position Surface form Disambiguated ID Type / Status
Subject Frank Reicher E95968 entity
Predicate name P16 FINISHED
Object Frank Reicher E95968 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: Frank Reicher | Statement: [Frank Reicher, name, Frank Reicher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Reicher
Context triple: [Frank Reicher, name, Frank Reicher]
  • A. Frank Reicher chosen
    Frank Reicher was a German-American actor and director best known for his roles in early Hollywood films, including classic monster movies of the 1930s.
  • B. Noland B. Harmon
    Noland B. Harmon was an American Methodist bishop known for co-authoring the 1963 “A Call for Unity” statement that criticized civil rights demonstrations in Birmingham, Alabama.
  • C. Anthony G. Brown
    Anthony G. Brown is an American politician and lawyer who has served as Maryland’s attorney general and previously as the state’s lieutenant governor and a U.S. congressman.
  • D. Darryl M. Bell
    Darryl M. Bell is an American actor best known for his role as Ron Johnson Jr. on the television sitcom "A Different World."
  • E. Fred Gray
    Fred Gray is a prominent American civil rights attorney best known for representing Rosa Parks and Martin Luther King Jr. and challenging segregation in Alabama.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.