Triple

T10301979
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Button E241652 entity
Predicate familyName P18 FINISHED
Object Button
Button is a common English surname borne by various real and fictional individuals, including the character Benjamin Button.
 E856529 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: Button | Statement: [Benjamin Button, familyName, Button]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Button
Context triple: [Benjamin Button, familyName, Button]
  • A. Buttons
    "Buttons" is a notable creative work by Sean Garrett, recognized as a key contribution to his career.
  • B. Button, Button
    "Button, Button" is a suspenseful short story by Richard Matheson that explores moral dilemmas and the consequences of greed through a mysterious offer involving a deadly button.
  • C. MatButton
    MatButton is the Angular Material component that provides a styled, accessible button implementation consistent with the Material Design specification.
  • D. BTN
    BTN is the three-letter ISO 3166-1 alpha-3 country code assigned to Bhutan.
  • E. BTN
    BTN is a U.S. sports television network dedicated primarily to broadcasting collegiate athletics and related programming from the Big Ten Conference.
  • 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: Button
Triple: [Benjamin Button, familyName, Button]
Generated description
Button is a common English surname borne by various real and fictional individuals, including the character Benjamin Button.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Button
Target entity description: Button is a common English surname borne by various real and fictional individuals, including the character Benjamin Button.
  • A. Buttons
    "Buttons" is a notable creative work by Sean Garrett, recognized as a key contribution to his career.
  • B. Button, Button
    "Button, Button" is a suspenseful short story by Richard Matheson that explores moral dilemmas and the consequences of greed through a mysterious offer involving a deadly button.
  • C. MatButton
    MatButton is the Angular Material component that provides a styled, accessible button implementation consistent with the Material Design specification.
  • D. BTN
    BTN is the three-letter ISO 3166-1 alpha-3 country code assigned to Bhutan.
  • E. BTN
    BTN is a U.S. sports television network dedicated primarily to broadcasting collegiate athletics and related programming from the Big Ten Conference.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d30716d8819085e25a78e6af3b9d completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d47049c81909b60058c36042f71 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d7318402f08190b655bdddbd97ecb9 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d734473ef48190852dbe48742a4273 completed April 9, 2026, 5:08 a.m.
Created at: April 6, 2026, 11:45 a.m.