Triple

T18861963
Position Surface form Disambiguated ID Type / Status
Subject Leslie Moonves E461332 entity
Predicate familyName P18 FINISHED
Object Moonves
Moonves is the surname of Leslie Moonves, a prominent American television executive and former CEO of CBS.
E1346656 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: Moonves | Statement: [Leslie Moonves, familyName, Moonves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moonves
Context triple: [Leslie Moonves, familyName, Moonves]
  • A. Rose Morgan
    Rose Morgan is the introspective, insecure Columbia University professor who undergoes a journey of self-discovery and romantic awakening in the film "The Mirror Has Two Faces."
  • B. Sherri Vitale
    Sherri Vitale is the daughter of famed American basketball sportscaster Dick Vitale.
  • C. Ann Cowherd
    Ann Cowherd is known as the wife of American sports media personality Colin Cowherd.
  • D. Reese Meredith
    Reese Meredith was an 18th-century Philadelphia merchant and political figure connected to early American revolutionary circles.
  • E. Montel Williams
    Montel Williams is an American television personality and former talk show host best known for his long-running syndicated program "The Montel Williams Show."
  • 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: Moonves
Triple: [Leslie Moonves, familyName, Moonves]
Generated description
Moonves is the surname of Leslie Moonves, a prominent American television executive and former CEO of CBS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moonves
Target entity description: Moonves is the surname of Leslie Moonves, a prominent American television executive and former CEO of CBS.
  • A. Rose Morgan
    Rose Morgan is the introspective, insecure Columbia University professor who undergoes a journey of self-discovery and romantic awakening in the film "The Mirror Has Two Faces."
  • B. Sherri Vitale
    Sherri Vitale is the daughter of famed American basketball sportscaster Dick Vitale.
  • C. Ann Cowherd
    Ann Cowherd is known as the wife of American sports media personality Colin Cowherd.
  • D. Reese Meredith
    Reese Meredith was an 18th-century Philadelphia merchant and political figure connected to early American revolutionary circles.
  • E. Montel Williams
    Montel Williams is an American television personality and former talk show host best known for his long-running syndicated program "The Montel Williams Show."
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c06184d88190bd05413a07a8c9ce completed April 20, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575b73f0c8190a04769515217c39c completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a0576e3915c819098a969ddd2b2d1a5 completed May 14, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_6a05777f51b481909a7916bc40dcfd69 completed May 14, 2026, 7:19 a.m.
Created at: April 10, 2026, 11:57 a.m.