Triple

T4187
Position Surface form Disambiguated ID Type / Status
Subject Douglas E80 entity
Predicate hasVariant P455 FINISHED
Object Doug E80 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: Doug | Statement: [Douglas, hasVariant, Doug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug
Context triple: [Douglas, hasVariant, Doug]
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Rockwell Cage
    Rockwell Cage is an indoor athletic facility at the Massachusetts Institute of Technology that serves as the primary venue for the MIT Engineers’ home sports events.
  • C. Tim the Beaver
    Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Douglas chosen
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVariant
Context triple: [Douglas, hasVariant, Doug]
  • A. hasPart
    Indicates that one entity is a component, segment, or constituent part of another entity.
  • B. hasFeature
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • C. hasCharacteristic
    Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
  • D. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • E. hasLegacy
    Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a23bcc8eb48190b897cc331563980a completed Feb. 28, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a23d871f1081909f1690b0fdf5afd0 completed Feb. 28, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69a23994309081909ff3e869deef2156 completed Feb. 28, 2026, 12:40 a.m.
PDg Predicate description generation batch_69a23bcb4bbc819093775f623998d62d completed Feb. 28, 2026, 12:50 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.