Triple

T20388850
Position Surface form Disambiguated ID Type / Status
Subject The Wraith E498030 entity
Predicate musicBy P1952 FINISHED
Object Michael Hoenig NE NERFINISHED

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: Michael Hoenig | Statement: [The Wraith, musicBy, Michael Hoenig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Hoenig
Context triple: [The Wraith, musicBy, Michael Hoenig]
  • A. Michael Hoenig chosen
    Michael Hoenig is a German electronic music composer and former Tangerine Dream member known for his influential solo work and film scores.
  • B. Wilm Hosenfeld
    Wilm Hosenfeld was a German Wehrmacht officer known for secretly helping and ultimately saving Polish Jews, most famously the pianist Władysław Szpilman, during World War II.
  • C. Marvin Duchow
    Marvin Duchow was a Canadian musicologist and influential professor of music at McGill University, known for his scholarship in Renaissance and Baroque music.
  • D. Ray Haffner
    Ray Haffner is a character on the television series "The Mentalist," depicted as an FBI agent and occasional rival to protagonist Patrick Jane.
  • E. Harold Hecht
    Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.