Triple

T14460640
Position Surface form Disambiguated ID Type / Status
Subject Steven Seagal E358574 entity
Predicate birthName P65 FINISHED
Object Steven Frederic Seagal E358574 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: Steven Frederic Seagal | Statement: [Steven Seagal, birthName, Steven Frederic Seagal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Frederic Seagal
Context triple: [Steven Seagal, birthName, Steven Frederic Seagal]
  • A. Steven Seagal chosen
    Steven Seagal is an American martial artist, action film actor, producer, and musician known for his aikido-based fighting style and roles in 1980s and 1990s action movies.
  • B. Jean-Claude Van Damme
    Jean-Claude Van Damme is a Belgian martial artist and action film star best known for movies like "Bloodsport," "Kickboxer," and "Universal Soldier."
  • C. Gordon Scott
    Gordon Scott is an editor known for his work on the film "The Doctor and the Devils."
  • D. Gordon Scott
    Gordon Scott was an American actor best known for playing Tarzan in a series of popular 1950s and 1960s adventure films.
  • E. Keye Luke
    Keye Luke was a Chinese-American actor and artist best known for his roles in the Charlie Chan films, the original "Kung Fu" TV series, and as Master Po in "Kung Fu."
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d890be88190afe61dde0d1e75a8 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.