Triple

T13975503
Position Surface form Disambiguated ID Type / Status
Subject Halt and Catch Fire E336177 entity
Predicate composer P1361 FINISHED
Object Paul Haslinger E485902 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: Paul Haslinger | Statement: [Halt and Catch Fire, composer, Paul Haslinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Haslinger
Context triple: [Halt and Catch Fire, composer, Paul Haslinger]
  • A. Paul Haslinger chosen
    Paul Haslinger is an Austrian composer and musician known for his work on film, television, and video game scores, as well as for being a former member of the electronic music group Tangerine Dream.
  • B. Tobias Haslinger
    Tobias Haslinger was a 19th-century Austrian music publisher known for issuing works by major composers such as Franz Schubert, including the song cycle "Winterreise."
  • C. Thomas Häßler
    Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
  • D. Paul Krendler
    Paul Krendler is a corrupt and antagonistic U.S. Justice Department official who serves as a key foil to Clarice Starling in the film "Hannibal."
  • E. Joachim Haspinger
    Joachim Haspinger was a Capuchin priest and military leader who became a prominent figure in the Tyrolean uprising against Napoleonic and Bavarian rule in 1809.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e90dc148190b38e339aac0de484 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d691008190a38729d18de2bb91 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:18 p.m.