Triple

T3287602
Position Surface form Disambiguated ID Type / Status
Subject FX E69019 entity
Predicate originalProgramming P21681 FINISHED
Object Damages E294739 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: Damages | Statement: [FX, originalProgramming, Damages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damages
Context triple: [FX, originalProgramming, Damages]
  • A. Damages chosen
    Damages is a critically acclaimed legal thriller television series known for its complex storytelling, morally ambiguous characters, and Glenn Close’s powerful performance as ruthless attorney Patty Hewes.
  • B. Damage
    "Damage" is a 1992 British-French psychological drama film directed by Louis Malle, in which Miranda Richardson delivers an acclaimed performance as the betrayed wife of a politician entangled in a destructive affair.
  • C. Consequences
    "Consequences" is a memoir by Canadian author and former First Lady Margaret Trudeau, in which she reflects on her personal struggles, relationships, and mental health.
  • D. Stains
    Stains is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods and diverse population.
  • E. Mutual Loss and Gain
    Mutual Loss and Gain is an alternate English title for Surah At-Taghabun, a chapter of the Qur’an that emphasizes human accountability, the contrast between belief and disbelief, and the ultimate reckoning in the Hereafter.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb058e00881908fdf0a23208860d4 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.