Triple

T20648371
Position Surface form Disambiguated ID Type / Status
Subject Leanne Wong E507419 entity
Predicate givenName P17 FINISHED
Object Leanne
Leanne is a feminine given name commonly used in English-speaking countries, often considered a variant of Liane or a combination of "Lee" and "Anne."
 E1443016 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: Leanne | Statement: [Leanne Wong, givenName, Leanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leanne
Context triple: [Leanne Wong, givenName, Leanne]
  • A. Lené
    Lené is a given name, typically a feminine variant used in various European and Afrikaans-speaking contexts.
  • B. Lianne
    Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
  • C. Carlene
    Carlene is a feminine given name, often associated with English-speaking countries and notably borne by American country singer Carlene Carter.
  • D. Joanne
    Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • E. Joanne
    "Joanne" is a country- and rock-influenced studio album by American singer-songwriter Lady Gaga that explores themes of family, loss, and personal identity.
  • 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: Leanne
Triple: [Leanne Wong, givenName, Leanne]
Generated description
Leanne is a feminine given name commonly used in English-speaking countries, often considered a variant of Liane or a combination of "Lee" and "Anne."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leanne
Target entity description: Leanne is a feminine given name commonly used in English-speaking countries, often considered a variant of Liane or a combination of "Lee" and "Anne."
  • A. Lené
    Lené is a given name, typically a feminine variant used in various European and Afrikaans-speaking contexts.
  • B. Lianne
    Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
  • C. Carlene
    Carlene is a feminine given name, often associated with English-speaking countries and notably borne by American country singer Carlene Carter.
  • D. Joanne
    Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • E. Joanne
    "Joanne" is a country- and rock-influenced studio album by American singer-songwriter Lady Gaga that explores themes of family, loss, and personal identity.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1fbfa881908a5b9db143e362d0 completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c59142648190a5100ba4477dc83d completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c6877618819096a3621c19bfc9f2 completed May 16, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a08c70c109c8190b4b38ea86f963f38 completed May 16, 2026, 7:35 p.m.
Created at: April 16, 2026, 11:43 a.m.