Triple

T12631944
Position Surface form Disambiguated ID Type / Status
Subject High Plains Drifter E301664 entity
Predicate starring P1507 FINISHED
Object Ted Hartley
Ted Hartley is an American actor, former Navy fighter pilot, and film producer who later became chairman and CEO of RKO Pictures.
E996240 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: Ted Hartley | Statement: [High Plains Drifter, starring, Ted Hartley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Hartley
Context triple: [High Plains Drifter, starring, Ted Hartley]
  • A. Ed Hartnett
    Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
  • B. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • C. Frank Hartnett
    Frank Hartnett is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the Hartnett surname.
  • D. Marvin Hartley
    Marvin Hartley is an individual notable enough to be specifically cited as a bearer of the Hartley surname.
  • E. Mike Hartnett
    Mike Hartnett is a person notable enough to be recognized as a distinct individual, though specific widely known public details about him are not clearly established.
  • 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: Ted Hartley
Triple: [High Plains Drifter, starring, Ted Hartley]
Generated description
Ted Hartley is an American actor, former Navy fighter pilot, and film producer who later became chairman and CEO of RKO Pictures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ted Hartley
Target entity description: Ted Hartley is an American actor, former Navy fighter pilot, and film producer who later became chairman and CEO of RKO Pictures.
  • A. Ed Hartnett
    Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
  • B. Charles Hart
    Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
  • C. Frank Hartnett
    Frank Hartnett is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the Hartnett surname.
  • D. Marvin Hartley
    Marvin Hartley is an individual notable enough to be specifically cited as a bearer of the Hartley surname.
  • E. Mike Hartnett
    Mike Hartnett is a person notable enough to be recognized as a distinct individual, though specific widely known public details about him are not clearly established.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610e4f408190946f37325d69375c completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66871998c8190af8bd3f9ec596ada completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:15 p.m.