Triple

T16441597
Position Surface form Disambiguated ID Type / Status
Subject Models Inc. E399313 entity
Predicate character P662 FINISHED
Object Mark Merrill
Mark Merrill is a fictional character from the 1990s television drama series "Models Inc.," which focused on the lives and careers of high-fashion models.
 E1217586 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: Mark Merrill | Statement: [Models Inc., character, Mark Merrill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Merrill
Context triple: [Models Inc., character, Mark Merrill]
  • A. Marc McClure
    Marc McClure is an American actor best known for playing Jimmy Olsen in the Superman film series and Dave McFly in the Back to the Future trilogy.
  • B. Steve Hilliard
    Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
  • C. Rob Merilees
    Rob Merilees is a film producer known for his work on the drama "Brain on Fire."
  • D. Phil Reeves
    Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
  • E. Phil Morrow
    Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
  • 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: Mark Merrill
Triple: [Models Inc., character, Mark Merrill]
Generated description
Mark Merrill is a fictional character from the 1990s television drama series "Models Inc.," which focused on the lives and careers of high-fashion models.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Merrill
Target entity description: Mark Merrill is a fictional character from the 1990s television drama series "Models Inc.," which focused on the lives and careers of high-fashion models.
  • A. Marc McClure
    Marc McClure is an American actor best known for playing Jimmy Olsen in the Superman film series and Dave McFly in the Back to the Future trilogy.
  • B. Steve Hilliard
    Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
  • C. Rob Merilees
    Rob Merilees is a film producer known for his work on the drama "Brain on Fire."
  • D. Phil Reeves
    Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
  • E. Phil Morrow
    Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba91dc48190bc35db60f63d36d3 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0060746c308190b67ff7c4646e10de completed May 10, 2026, 10:39 a.m.
NEDg Description generation batch_6a00614185008190bf4abe2443222225 completed May 10, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0061b833548190a56a32e634757419 completed May 10, 2026, 10:45 a.m.
Created at: April 10, 2026, 5:10 a.m.