Triple

T12639835
Position Surface form Disambiguated ID Type / Status
Subject Nabby Adams E301864 entity
Predicate nickname P55 FINISHED
Object Nabby
Nabby is the affectionate nickname of Abigail "Nabby" Adams, the daughter of U.S. President John Adams and First Lady Abigail Adams.
 E994754 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: Nabby | Statement: [Nabby Adams, nickname, Nabby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nabby
Context triple: [Nabby Adams, nickname, Nabby]
  • A. Barnaby
    Barnaby is a masculine given name of English origin, often considered a formal or variant form of the name Barney.
  • B. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • C. Nell
    Nell is a 1994 American drama film starring Jodie Foster as a reclusive young woman raised in isolation, known for its exploration of language, communication, and societal integration.
  • D. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • E. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • 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: Nabby
Triple: [Nabby Adams, nickname, Nabby]
Generated description
Nabby is the affectionate nickname of Abigail "Nabby" Adams, the daughter of U.S. President John Adams and First Lady Abigail Adams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nabby
Target entity description: Nabby is the affectionate nickname of Abigail "Nabby" Adams, the daughter of U.S. President John Adams and First Lady Abigail Adams.
  • A. Barnaby
    Barnaby is a masculine given name of English origin, often considered a formal or variant form of the name Barney.
  • B. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • C. Nell
    Nell is a 1994 American drama film starring Jodie Foster as a reclusive young woman raised in isolation, known for its exploration of language, communication, and societal integration.
  • D. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • E. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697d8ac88190b4ead9ce47f3a705 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a2da60881909b0a689821456bb4 completed May 2, 2026, 9:18 p.m.
Created at: April 9, 2026, 5:16 p.m.