Triple

T13474030
Position Surface form Disambiguated ID Type / Status
Subject Ryan Phillippe E318203 entity
Predicate notableWork P4 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: [Ryan Phillippe, notableWork, Damages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damages
Context triple: [Ryan Phillippe, notableWork, 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. Damages
    "Damages" is a breakout R&B single by Nigerian singer Tems that helped establish her as a prominent voice in contemporary Afrobeats and alté music.
  • C. Losses
    "Losses" is a World War II–themed poetry collection by American poet and critic Randall Jarrell, noted for its stark, psychologically acute portrayal of soldiers’ experiences in aerial warfare.
  • D. Damage Gets Done
    "Damage Gets Done" is a duet track by Hozier and Brandi Carlile from Hozier’s 2023 album *Unreal Unearth*, blending soulful vocals with reflective, emotionally charged lyrics.
  • E. Damage Control
    Damage Control is a Marvel Comics series about a specialized company that cleans up and repairs the destruction caused by superhero battles.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462f94988190a857fa8cd32cdd0a completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.