Triple

T9790237
Position Surface form Disambiguated ID Type / Status
Subject Side Effects E237586 entity
Predicate hasCharacter P2308 FINISHED
Object Martin Taylor
Martin Taylor is a fictional character appearing in the psychological thriller film "Side Effects."
 E821873 NE FINISHED

How this triple was built (4 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: Martin Taylor | Statement: [Side Effects, hasCharacter, Martin Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martin Taylor
Context triple: [Side Effects, hasCharacter, Martin Taylor]
  • A. Richard Hadlee
    Richard Hadlee is a legendary New Zealand fast bowler widely regarded as one of the greatest all-rounders in cricket history.
  • B. Mark Taylor
    Mark Taylor is a music producer known for his work on the project "Tissues and Issues."
  • C. David Gower
    David Gower is a former England cricket captain and elegant left-handed batsman who became a prominent television cricket commentator.
  • D. Graham Gooch
    Graham Gooch is a former English cricketer widely regarded as one of England’s greatest batsmen and a prolific run-scorer in international cricket.
  • E. Colin Fry
    Colin Fry was a British spiritualist medium and television personality known for his popular psychic and paranormal-themed TV shows.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martin Taylor
Triple: [Side Effects, hasCharacter, Martin Taylor]
Generated description
Martin Taylor is a fictional character appearing in the psychological thriller film "Side Effects."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martin Taylor
Target entity description: Martin Taylor is a fictional character appearing in the psychological thriller film "Side Effects."
  • A. Richard Hadlee
    Richard Hadlee is a legendary New Zealand fast bowler widely regarded as one of the greatest all-rounders in cricket history.
  • B. Mark Taylor
    Mark Taylor is a music producer known for his work on the project "Tissues and Issues."
  • C. David Gower
    David Gower is a former England cricket captain and elegant left-handed batsman who became a prominent television cricket commentator.
  • D. Graham Gooch
    Graham Gooch is a former English cricketer widely regarded as one of England’s greatest batsmen and a prolific run-scorer in international cricket.
  • E. Colin Fry
    Colin Fry was a British spiritualist medium and television personality known for his popular psychic and paranormal-themed TV shows.
  • F. None of above. chosen

Provenance (5 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4b07cec8190a2e6c49efad3a841 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c547a9808190b96face03c4203b0 completed April 5, 2026, 2:13 a.m.
Created at: March 30, 2026, 8:28 p.m.