Triple

T5034245
Position Surface form Disambiguated ID Type / Status
Subject Carlos Fuentes E113381 entity
Predicate notableWork P4 FINISHED
Object Christopher Unborn
Christopher Unborn is a satirical novel by Mexican author Carlos Fuentes that explores Mexico’s political and social turmoil through the perspective of an unborn child.
E488147 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: Christopher Unborn | Statement: [Carlos Fuentes, notableWork, Christopher Unborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Unborn
Context triple: [Carlos Fuentes, notableWork, Christopher Unborn]
  • A. Bronson
    Bronson is a 2008 British biographical crime film in which Tom Hardy portrays the notoriously violent prisoner Charles Bronson.
  • B. Bronson
    Bronson is a given name most notably associated with American educator and transcendentalist philosopher Amos Bronson Alcott.
  • C. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Bruno
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • 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: Christopher Unborn
Triple: [Carlos Fuentes, notableWork, Christopher Unborn]
Generated description
Christopher Unborn is a satirical novel by Mexican author Carlos Fuentes that explores Mexico’s political and social turmoil through the perspective of an unborn child.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christopher Unborn
Target entity description: Christopher Unborn is a satirical novel by Mexican author Carlos Fuentes that explores Mexico’s political and social turmoil through the perspective of an unborn child.
  • A. Bronson
    Bronson is a given name most notably associated with American educator and transcendentalist philosopher Amos Bronson Alcott.
  • B. Bronson
    Bronson is a 2008 British biographical crime film in which Tom Hardy portrays the notoriously violent prisoner Charles Bronson.
  • C. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Bruno
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b8646c8190b3cc20193e4639ee completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c759c608190875b6d48d99024b4 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9de82ed48190bb85ba05a2d4ecbe completed March 21, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69be9ea74c248190b08113606e43ebc5 completed March 21, 2026, 1:35 p.m.
Created at: March 20, 2026, 1:36 p.m.