Triple

T18994540
Position Surface form Disambiguated ID Type / Status
Subject Rick Reilly E464775 entity
Predicate notableWork P4 FINISHED
Object "Tiger, Meet My Sister..." NE NERFINISHED

How this triple was built (3 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: "Tiger, Meet My Sister..." | Statement: [Rick Reilly, notableWork, "Tiger, Meet My Sister..."]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Tiger, Meet My Sister..."
Context triple: [Rick Reilly, notableWork, "Tiger, Meet My Sister..."]
  • A. Tiger Girl
    Tiger Girl is a 2017 German coming-of-age drama film about a rebellious young woman who forms a volatile friendship that spirals into escalating violence and anarchy.
  • B. Tiger Trap
    Tiger Trap was an early 1990s American indie pop band associated with the twee pop scene and known for their melodic, lo-fi sound.
  • C. Don’t Tamper with My Sister
    "Don’t Tamper with My Sister" is a musical number featured in the stage musical and film adaptation of "On a Clear Day You Can See Forever."
  • D. The Saint Meets the Tiger
    The Saint Meets the Tiger is a 1943 British mystery film featuring the character Simon Templar, also known as "The Saint," in an adventure involving crime, intrigue, and undercover investigation.
  • E. The Tiger in the House
    The Tiger in the House is a 1920 nonfiction book by Carl Van Vechten that explores the history, lore, and cultural significance of domestic cats.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: "Tiger, Meet My Sister..."
Target entity description: "Tiger, Meet My Sister..." is a humorous, opinionated sports book by columnist Rick Reilly that critiques and reflects on Tiger Woods’s life, career, and public image.
  • A. Tiger Girl
    Tiger Girl is a 2017 German coming-of-age drama film about a rebellious young woman who forms a volatile friendship that spirals into escalating violence and anarchy.
  • B. Tiger Trap
    Tiger Trap was an early 1990s American indie pop band associated with the twee pop scene and known for their melodic, lo-fi sound.
  • C. Don’t Tamper with My Sister
    "Don’t Tamper with My Sister" is a musical number featured in the stage musical and film adaptation of "On a Clear Day You Can See Forever."
  • D. The Saint Meets the Tiger
    The Saint Meets the Tiger is a 1943 British mystery film featuring the character Simon Templar, also known as "The Saint," in an adventure involving crime, intrigue, and undercover investigation.
  • E. The Tiger in the House
    The Tiger in the House is a 1920 nonfiction book by Carl Van Vechten that explores the history, lore, and cultural significance of domestic cats.
  • F. None of above. chosen

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d680dd2881908a72e732c6b25477 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.