Triple

T16450009
Position Surface form Disambiguated ID Type / Status
Subject Desertion E399526 entity
Predicate hasCharacter P2308 FINISHED
Object Martin Pearce
Martin Pearce is a fictional character featured in the work "Desertion."
E1261101 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: Martin Pearce | Statement: [Desertion, hasCharacter, Martin Pearce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Pearce
Context triple: [Desertion, hasCharacter, Martin Pearce]
  • A. Richard Pearce
    Richard Pearce is a voice actor known for his work in animated films, including providing a character voice in Pixar's "A Bug's Life."
  • B. Richard Pearce
    Richard Pearce is an American cinematographer and film director known for his work on documentaries and feature films, including the acclaimed food industry exposé "Food, Inc."
  • C. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • D. Peter Pearce
    Peter Pearce is an American architect known for his innovative, environmentally focused designs and contributions to sustainable architecture, including work on experimental projects like Biosphere 2.
  • E. Frank Pearce
    Frank Pearce is a video game developer and co-founder of Blizzard Entertainment, known for helping build some of the most influential franchises in modern gaming.
  • 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: Martin Pearce
Triple: [Desertion, hasCharacter, Martin Pearce]
Generated description
Martin Pearce is a fictional character featured in the work "Desertion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Pearce
Target entity description: Martin Pearce is a fictional character featured in the work "Desertion."
  • A. Richard Pearce
    Richard Pearce is a voice actor known for his work in animated films, including providing a character voice in Pixar's "A Bug's Life."
  • B. Richard Pearce
    Richard Pearce is an American cinematographer and film director known for his work on documentaries and feature films, including the acclaimed food industry exposé "Food, Inc."
  • C. Anthony Peckham
    Anthony Peckham is a South African–born screenwriter best known for scripting films such as "Invictus" and "Sherlock Holmes."
  • D. Peter Pearce
    Peter Pearce is an American architect known for his innovative, environmentally focused designs and contributions to sustainable architecture, including work on experimental projects like Biosphere 2.
  • E. Frank Pearce
    Frank Pearce is a video game developer and co-founder of Blizzard Entertainment, known for helping build some of the most influential franchises in modern gaming.
  • 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_69e32cdfb0ec8190b75c4e6f4aceb200 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bf3d308190b4965d57fe327a52 completed May 11, 2026, 7:09 a.m.
NEDg Description generation batch_6a0181fcce3081909822812f113f24c8 completed May 11, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0182ccd104819088569cf0be87b4d3 completed May 11, 2026, 7:18 a.m.
Created at: April 10, 2026, 5:10 a.m.