Triple

T21890528
Position Surface form Disambiguated ID Type / Status
Subject Lisa Halaby E540529 entity
Predicate givenName P17 FINISHED
Object Lisa
Lisa is a common feminine given name used in many cultures, often as a shortened form of Elizabeth.
 E300630 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: Lisa | Statement: [Lisa Halaby, givenName, Lisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisa
Context triple: [Lisa Halaby, givenName, Lisa]
  • A. Lisa
    Lisa is the central female protagonist of the film "The Other Man," around whom the story’s romantic and dramatic tensions revolve.
  • B. Lisa
    Lisa is a custom-designed integrated circuit that served as a key support chipset component in early Apple Macintosh computers, handling functions such as memory and system control.
  • C. Lisa
    Lisa is a person known primarily for holding a position or role that was later taken over by Denise.
  • D. Lisa
    Lisa is a close friend and confidante of Sophie Sheridan in the Mamma Mia! universe.
  • E. Lisa
    Lisa Loring was an American actress best known for originating the role of Wednesday Addams in the 1960s television series "The Addams Family."
  • 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: Lisa
Triple: [Lisa Halaby, givenName, Lisa]
Generated description
Lisa is a common feminine given name used in many cultures, often as a shortened form of Elizabeth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisa
Target entity description: Lisa is a common feminine given name used in many cultures, often as a shortened form of Elizabeth.
  • A. Lisa chosen
    Lisa is a feminine given name commonly used in English-speaking countries, often as a shortened form of Elizabeth or Melissa.
  • B. Lisa
    Lisa is a person known primarily for holding a position or role that was later taken over by Denise.
  • C. Lisa
    Lisa is the birth name of American actress and television personality Olivia Munn.
  • D. Lisa
    Lisa is the given name of Australian musician and composer Lisa Gerrard, renowned for her work as part of Dead Can Dance and for her film scores.
  • E. Lisa
    Lisa is the birth name of Sister Souljah, an American author, activist, and former hip-hop artist known for her outspoken views on race and social justice.
  • F. None of above.

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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc2124c8190a79cf115a1d30283 completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a52bd7064819082a40b8c41240880 completed May 17, 2026, 11:43 p.m.
NEDg Description generation batch_6a0a56cc4d7081909d4d82acff2d787d completed May 18, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5775bba4819083357b518589be41 completed May 18, 2026, 12:04 a.m.
Created at: April 16, 2026, 7:06 p.m.