Triple

T4306218
Position Surface form Disambiguated ID Type / Status
Subject Michael Biehn E99960 entity
Predicate birthName P65 FINISHED
Object Michael Connell Biehn E99960 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 Connell Biehn | Statement: [Michael Biehn, birthName, Michael Connell Biehn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Connell Biehn
Context triple: [Michael Biehn, birthName, Michael Connell Biehn]
  • A. Michael Biehn chosen
    Michael Biehn is an American actor best known for his roles in science fiction and action films such as The Terminator, Aliens, and The Abyss.
  • B. Tim Matheson
    Tim Matheson is an American actor and director best known for his roles in films like "National Lampoon's Animal House" and numerous television series.
  • C. Chris Hargensen
    Chris Hargensen is a central antagonist in Stephen King’s novel "Carrie," known as a cruel high school bully whose actions help trigger the story’s catastrophic climax.
  • D. Peter Weller
    Peter Weller is an American actor and director best known for his iconic role as the title character in the "RoboCop" films and for numerous appearances in science fiction and television.
  • E. Tom Skerritt
    Tom Skerritt is an American actor known for his roles in films such as "M*A*S*H," "Alien," and "Top Gun," as well as numerous television appearances.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350ba57ec8190afda7d8318e5d2d0 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d07aede08190bbabc6a7b5a7dfb6 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:09 p.m.