Triple

T7135570
Position Surface form Disambiguated ID Type / Status
Subject William Goldman E166297 entity
Predicate notableWork P4 FINISHED
Object Harper
"Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
 E644446 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: Harper | Statement: [William Goldman, notableWork, Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harper
Context triple: [William Goldman, notableWork, Harper]
  • A. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • B. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • C. Harper
    Harper is a central character in the young adult novel "Watch Over Me," whose experiences and relationships drive much of the story’s emotional arc.
  • D. Harper
    Harper is a common English surname of Anglo-Saxon origin, historically referring to someone who played the harp.
  • E. Lovejoy
    Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
  • 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: Harper
Triple: [William Goldman, notableWork, Harper]
Generated description
"Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harper
Target entity description: "Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
  • A. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • B. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • C. Harper
    Harper is a central character in the young adult novel "Watch Over Me," whose experiences and relationships drive much of the story’s emotional arc.
  • D. Harper
    Harper is a common English surname of Anglo-Saxon origin, historically referring to someone who played the harp.
  • E. Lovejoy
    Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e690f954819084b81a555f4cdb5e completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a348a748819082f87039ea79f251 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45e81bc8190bf4c47e3bb5fe077 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4f074708190a5ce0a863ffd4f25 completed March 28, 2026, 9:52 a.m.
Created at: March 27, 2026, 2:45 p.m.