Triple

T4567680
Position Surface form Disambiguated ID Type / Status
Subject The Drowning Pool E121948 entity
Predicate follows P134 FINISHED
Object Harper (film)
Harper is a 1966 American neo-noir mystery film starring Paul Newman as a wisecracking private detective in a stylish, character-driven investigation.
 E454327 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 (film) | Statement: [The Drowning Pool, follows, Harper (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harper (film)
Context triple: [The Drowning Pool, follows, Harper (film)]
  • A. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • B. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • C. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • D. Harvey
    Harvey is a rural town in the South West of Western Australia known for its agriculture, dairy production, and citrus orchards.
  • E. Harvey
    Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
  • 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 (film)
Triple: [The Drowning Pool, follows, Harper (film)]
Generated description
Harper is a 1966 American neo-noir mystery film starring Paul Newman as a wisecracking private detective in a stylish, character-driven investigation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harper (film)
Target entity description: Harper is a 1966 American neo-noir mystery film starring Paul Newman as a wisecracking private detective in a stylish, character-driven investigation.
  • A. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • B. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • C. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • D. Harvey
    Harvey is a rural town in the South West of Western Australia known for its agriculture, dairy production, and citrus orchards.
  • E. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589faccc8190ac0354644099810d completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3bf54448190a7e65cee1a5c48e3 completed March 20, 2026, 11:09 p.m.
NEDg Description generation batch_69bdd9d583248190ab8e3d5b9b34bd0f completed March 20, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69bdda765f18819088cacca8fae77084 completed March 20, 2026, 11:38 p.m.
Created at: March 20, 2026, 1:09 p.m.