Triple

T31242641
Position Surface form Disambiguated ID Type / Status
Subject Glenn Davis E796602 entity
Predicate BlanchardNickname P90791 FINISHED
Object Mr. Inside
Mr. Inside was the famous nickname of Glenn Davis, the powerful, hard-running halfback who starred for the Army football team in the 1940s.
 E1952937 NE FINISHED

How this triple was built (3 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: Mr. Inside | Statement: [Glenn Davis, BlanchardNickname, Mr. Inside]
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: Mr. Inside
Triple: [Glenn Davis, BlanchardNickname, Mr. Inside]
Generated description
Mr. Inside was the famous nickname of Glenn Davis, the powerful, hard-running halfback who starred for the Army football team in the 1940s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: BlanchardNickname
Context triple: [Glenn Davis, BlanchardNickname, Mr. Inside]
  • A. nicknamedFor
    Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
  • B. isOfficialNicknameOf
    Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
  • C. unofficialNickname chosen
    Indicates that one entity is informally or colloquially known by a non-official nickname represented by the other entity.
  • D. notableNickname
    Indicates that one entity is a well-known or widely recognized nickname or moniker for another entity.
  • E. namedAccordingTo
    Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
  • F. None of above.

Provenance (6 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_69f224db69ac81909a370adad6a7ac7c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296beb9bc88190b833494eebe36377 completed June 10, 2026, 1:51 p.m.
NEDg Description generation batch_6a296d4e7e0481908c6aa4bbfca0b520 completed June 10, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a299ba2c2a4819090e463dcae50684f completed June 10, 2026, 5:15 p.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:11 p.m.