Triple

T144217
Position Surface form Disambiguated ID Type / Status
Subject Robert E2918 entity
Predicate hasVariant P455 FINISHED
Object Bert
Bert is a given name, typically a shortened form of names like Robert, Albert, or Herbert, used as a masculine personal name.
 E17927 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: Bert | Statement: [Robert, hasVariant, Bert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bert
Context triple: [Robert, hasVariant, Bert]
  • A. Bert
    Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
  • B. Kermit Bloomgarden
    Kermit Bloomgarden was a prominent American theatrical producer best known for staging major mid-20th-century Broadway plays and musicals, including works by Arthur Miller.
  • C. Willy
    Willy is a common diminutive form of the given name William, often used as an informal or affectionate nickname.
  • D. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • E. Monty
    Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
  • 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: Bert
Triple: [Robert, hasVariant, Bert]
Generated description
Bert is a given name, typically a shortened form of names like Robert, Albert, or Herbert, used as a masculine personal name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bert
Target entity description: Bert is a given name, typically a shortened form of names like Robert, Albert, or Herbert, used as a masculine personal name.
  • A. Bert chosen
    Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
  • B. Kermit Bloomgarden
    Kermit Bloomgarden was a prominent American theatrical producer best known for staging major mid-20th-century Broadway plays and musicals, including works by Arthur Miller.
  • C. Willy
    Willy is a common diminutive form of the given name William, often used as an informal or affectionate nickname.
  • D. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • E. Monty
    Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
  • F. None of above.

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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce36ad848190baf0359475fc0c3e completed Feb. 28, 2026, 11:15 a.m.
NEDg Description generation batch_69a2ceb2bd48819084fa2f198af74712 completed Feb. 28, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_69a2cf98fc4881909e3e7cf0b90ae5ce completed Feb. 28, 2026, 11:20 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.