Triple

T17884841
Position Surface form Disambiguated ID Type / Status
Subject Planetary E447173 entity
Predicate colorist P36862 FINISHED
Object Laura Martin
Laura Martin is an acclaimed American comic book colorist known for her work with major publishers like Marvel and DC on titles such as The Authority, Astonishing X-Men, and Thor.
E1360068 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: Laura Martin | Statement: [Planetary, colorist, Laura Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Martin
Context triple: [Planetary, colorist, Laura Martin]
  • A. Kelly Martin
    Kelly Martin is a musician who performed as part of the ensemble for the One World Concert event.
  • B. Sarah Martin
    Sarah Martin is a Scottish musician best known as a multi-instrumentalist and vocalist in the indie pop band Belle and Sebastian.
  • C. Lori Martin
    Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
  • D. Laura Malinger
    Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
  • E. Laura Hughes
    Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
  • 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: Laura Martin
Triple: [Planetary, colorist, Laura Martin]
Generated description
Laura Martin is an acclaimed American comic book colorist known for her work with major publishers like Marvel and DC on titles such as The Authority, Astonishing X-Men, and Thor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laura Martin
Target entity description: Laura Martin is an acclaimed American comic book colorist known for her work with major publishers like Marvel and DC on titles such as The Authority, Astonishing X-Men, and Thor.
  • A. Kelly Martin
    Kelly Martin is a musician who performed as part of the ensemble for the One World Concert event.
  • B. Sarah Martin
    Sarah Martin is a Scottish musician best known as a multi-instrumentalist and vocalist in the indie pop band Belle and Sebastian.
  • C. Lori Martin
    Lori Martin was an American actress best known for her role as the teenage daughter in the 1962 psychological thriller film "Cape Fear."
  • D. Laura Malinger
    Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
  • E. Laura Hughes
    Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
  • 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_69e49c123748819091bf46178105079b completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e6528cf08190a304eebf76d8b79b completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e96742c8819086680fb949f8f1bc completed May 14, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a05ea69dea48190b97663a859645200 completed May 14, 2026, 3:29 p.m.
Created at: April 10, 2026, 10:18 a.m.