Triple

T5195959
Position Surface form Disambiguated ID Type / Status
Subject Emily Drinkard E117271 entity
Predicate familyName P18 FINISHED
Object Drinkard
Drinkard is a surname most notably associated with the American gospel-singing Drinkard family, which includes relatives of Whitney Houston.
E501656 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: Drinkard | Statement: [Emily Drinkard, familyName, Drinkard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drinkard
Context triple: [Emily Drinkard, familyName, Drinkard]
  • A. Jedediah
    Jedediah is a miniature cowboy figure who comes to life and provides comic relief and adventurous chaos in the "Night at the Museum" film series.
  • B. Jerrald
    Jerrald is the birth name of Jerry Goldsmith, the acclaimed American film and television composer known for his innovative and influential scores.
  • C. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • 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: Drinkard
Triple: [Emily Drinkard, familyName, Drinkard]
Generated description
Drinkard is a surname most notably associated with the American gospel-singing Drinkard family, which includes relatives of Whitney Houston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Drinkard
Target entity description: Drinkard is a surname most notably associated with the American gospel-singing Drinkard family, which includes relatives of Whitney Houston.
  • A. Jedediah
    Jedediah is a miniature cowboy figure who comes to life and provides comic relief and adventurous chaos in the "Night at the Museum" film series.
  • B. Jerrald
    Jerrald is the birth name of Jerry Goldsmith, the acclaimed American film and television composer known for his innovative and influential scores.
  • C. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1c2184819083f4b1d8830bebae completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09a347081909c2c6c4a2362d7dd completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee62f493881909e8b484534e75359 completed March 21, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69bee6d1eae481909f3861b7c0adc2fd completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.