Triple

T17884013
Position Surface form Disambiguated ID Type / Status
Subject 100 Bullets E447156 entity
Predicate colorist P36862 FINISHED
Object Patricia Mulvihill
Patricia Mulvihill is an acclaimed American comic book colorist known for her influential work on major titles for publishers like DC and Vertigo.
E1355253 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: Patricia Mulvihill | Statement: [100 Bullets, colorist, Patricia Mulvihill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Mulvihill
Context triple: [100 Bullets, colorist, Patricia Mulvihill]
  • A. Patricia Conolly
    Patricia Conolly is an Australian-born stage actress known for her extensive work on Broadway and in major theatre productions internationally.
  • B. Patricia O'Flynn
    Patricia O'Flynn is known as the spouse of Canadian politician George Strauss.
  • C. Ann Mulhall
    Ann Mulhall is a Star Trek: The Original Series character, a Starfleet officer memorably played by actress Diana Muldaur.
  • D. Patricia Spence
    Patricia Spence was the second wife of British philosopher and Nobel laureate Bertrand Russell.
  • E. Ann McMillan
    Ann McMillan is the daughter of American physicist and Nobel laureate Edwin McMillan.
  • 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: Patricia Mulvihill
Triple: [100 Bullets, colorist, Patricia Mulvihill]
Generated description
Patricia Mulvihill is an acclaimed American comic book colorist known for her influential work on major titles for publishers like DC and Vertigo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patricia Mulvihill
Target entity description: Patricia Mulvihill is an acclaimed American comic book colorist known for her influential work on major titles for publishers like DC and Vertigo.
  • A. Patricia Conolly
    Patricia Conolly is an Australian-born stage actress known for her extensive work on Broadway and in major theatre productions internationally.
  • B. Patricia O'Flynn
    Patricia O'Flynn is known as the spouse of Canadian politician George Strauss.
  • C. Ann Mulhall
    Ann Mulhall is a Star Trek: The Original Series character, a Starfleet officer memorably played by actress Diana Muldaur.
  • D. Patricia Spence
    Patricia Spence was the second wife of British philosopher and Nobel laureate Bertrand Russell.
  • E. Ann McMillan
    Ann McMillan is the daughter of American physicist and Nobel laureate Edwin McMillan.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c11530881908ad98fbd0a52b1c3 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be3406888190bd3f8deea269be20 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bffc6c548190ae746c901b1f121c completed May 14, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_6a05c0521b0481909ae61b887e1461cf completed May 14, 2026, 12:30 p.m.
Created at: April 10, 2026, 10:18 a.m.