Triple

T15091025
Position Surface form Disambiguated ID Type / Status
Subject Bob Cerv E360414 entity
Predicate familyName P18 FINISHED
Object Cerv
Cerv is the surname of Bob Cerv, an American Major League Baseball outfielder known for his power hitting in the 1950s and early 1960s.
E1136540 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: Cerv | Statement: [Bob Cerv, familyName, Cerv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerv
Context triple: [Bob Cerv, familyName, Cerv]
  • A. Colpos
    Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
  • B. Cel
    Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
  • C. Cen
    Cen is the standard astronomical abbreviation for Centaurus, a prominent constellation in the southern sky.
  • D. Genitrix
    Genitrix is a psychological novel by French writer François Mauriac that explores themes of maternal domination, guilt, and religious morality within a provincial bourgeois family.
  • E. Hals
    Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
  • 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: Cerv
Triple: [Bob Cerv, familyName, Cerv]
Generated description
Cerv is the surname of Bob Cerv, an American Major League Baseball outfielder known for his power hitting in the 1950s and early 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cerv
Target entity description: Cerv is the surname of Bob Cerv, an American Major League Baseball outfielder known for his power hitting in the 1950s and early 1960s.
  • A. Colpos
    Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
  • B. Cel
    Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
  • C. Cen
    Cen is the standard astronomical abbreviation for Centaurus, a prominent constellation in the southern sky.
  • D. Genitrix
    Genitrix is a psychological novel by French writer François Mauriac that explores themes of maternal domination, guilt, and religious morality within a provincial bourgeois family.
  • E. Hals
    Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1d7a0c819096b035f8ca8d0e90 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf8e1b508190b0b5ceb64d44fad6 completed May 9, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69feb038065c8190b60266644db64092 completed May 9, 2026, 3:55 a.m.
Created at: April 10, 2026, 3:04 a.m.