Triple

T13996662
Position Surface form Disambiguated ID Type / Status
Subject No Place in Heaven E336714 entity
Predicate hasPart P35 FINISHED
Object Ordinary Man
"Ordinary Man" is a song by British singer-songwriter Mika from his album "No Place in Heaven."
E1074254 NE FINISHED

How this triple was built (4 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: Ordinary Man | Statement: [No Place in Heaven, hasPart, Ordinary Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ordinary Man
Context triple: [No Place in Heaven, hasPart, Ordinary Man]
  • A. An Ordinary Man
    An Ordinary Man is a 2017 drama film about a fugitive war criminal hiding in plain sight, starring Ben Kingsley and directed by Brad Silberling.
  • B. One Man
    One Man is a one-man stage play by Steven Berkoff that showcases his intense, physical performance style and darkly comic monologues.
  • C. What Kind of Man
    "What Kind of Man" is a dramatic, guitar-driven indie rock song by Florence + The Machine, known for its intense emotional delivery and exploration of a tumultuous relationship.
  • D. Holy Man
    Holy Man is a 1998 American comedy film starring Eddie Murphy as a mysterious spiritual guru who becomes an unlikely television sensation.
  • E. My Old Man
    "My Old Man" is a short story by Ernest Hemingway that explores themes of father-son relationships, disillusionment, and the harsh realities of adult life.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ordinary Man
Triple: [No Place in Heaven, hasPart, Ordinary Man]
Generated description
"Ordinary Man" is a song by British singer-songwriter Mika from his album "No Place in Heaven."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ordinary Man
Target entity description: "Ordinary Man" is a song by British singer-songwriter Mika from his album "No Place in Heaven."
  • A. An Ordinary Man
    An Ordinary Man is a 2017 drama film about a fugitive war criminal hiding in plain sight, starring Ben Kingsley and directed by Brad Silberling.
  • B. One Man
    One Man is a one-man stage play by Steven Berkoff that showcases his intense, physical performance style and darkly comic monologues.
  • C. What Kind of Man
    "What Kind of Man" is a dramatic, guitar-driven indie rock song by Florence + The Machine, known for its intense emotional delivery and exploration of a tumultuous relationship.
  • D. Holy Man
    Holy Man is a 1998 American comedy film starring Eddie Murphy as a mysterious spiritual guru who becomes an unlikely television sensation.
  • E. My Old Man
    "My Old Man" is a short story by Ernest Hemingway that explores themes of father-son relationships, disillusionment, and the harsh realities of adult life.
  • F. None of above. chosen

Provenance (5 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9d4a54819091c7efbeb4dcc5f7 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbadc6cb2c8190bdf66ad1fa6dd392 completed May 6, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69fbb01071408190a85e5e9be0150593 completed May 6, 2026, 9:18 p.m.
Created at: April 9, 2026, 10:19 p.m.