Triple

T6954123
Position Surface form Disambiguated ID Type / Status
Subject Old Wounds E161197 entity
Predicate hasTitle P38 FINISHED
Object Old Wounds E161197 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: Old Wounds | Statement: [Old Wounds, hasTitle, Old Wounds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Wounds
Context triple: [Old Wounds, hasTitle, Old Wounds]
  • A. Old Wounds chosen
    "Old Wounds" is an episode of the animated TV series "Teen Titans" that introduces the character Isaac.
  • B. Old Wounds
    "Old Wounds" is the pilot episode of the science fiction comedy-drama series *The Orville*, which introduces the main characters and the show's spacefaring setting.
  • C. Wounds in the Rain
    Wounds in the Rain is a collection of short stories by American author Stephen Crane, largely inspired by his experiences as a war correspondent during the Spanish–American War.
  • D. Almost Healed
    Almost Healed is a 2023 studio album by American rapper Lil Durk that blends introspective storytelling with melodic drill production and high-profile guest features.
  • E. The Wound and the Dream
    The Wound and the Dream is a lesser-known work by American author Robert Paul Smith, best remembered for his novel "Where Did You Go? Out. What Did You Do? Nothing."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacca12481908942ba793a104cc3 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.