Triple

T9698929
Position Surface form Disambiguated ID Type / Status
Subject Lela E234723 entity
Predicate isRelatedName P3889 FINISHED
Object Lilah
Lilah is a feminine given name, often considered a modern, melodic variant of names like Lila or Delilah.
 E815015 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: Lilah | Statement: [Lela, isRelatedName, Lilah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lilah
Context triple: [Lela, isRelatedName, Lilah]
  • A. Lilah Morgan
    Lilah Morgan is a recurring antagonist in the TV series "Angel," known as a ruthless lawyer working for the demonic law firm Wolfram & Hart.
  • B. 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.
  • C. 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.
  • D. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • E. Lily
    Lily is a pivotal character in the psychological thriller film "Black Swan," serving as a seductive and enigmatic rival whose presence intensifies the protagonist's descent into paranoia and self-destruction.
  • 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: Lilah
Triple: [Lela, isRelatedName, Lilah]
Generated description
Lilah is a feminine given name, often considered a modern, melodic variant of names like Lila or Delilah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lilah
Target entity description: Lilah is a feminine given name, often considered a modern, melodic variant of names like Lila or Delilah.
  • A. Lilah Morgan
    Lilah Morgan is a recurring antagonist in the TV series "Angel," known as a ruthless lawyer working for the demonic law firm Wolfram & Hart.
  • B. 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.
  • C. 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.
  • D. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • E. Lily
    Lily is a pivotal character in the psychological thriller film "Black Swan," serving as a seductive and enigmatic rival whose presence intensifies the protagonist's descent into paranoia and self-destruction.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3d425c8190b652d84186b5ce9f completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912a551c8190bd6b48790f117f71 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193d8dd7c819094ca47105c3135e6 completed April 4, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d1943d67988190aac089266d2d4abc completed April 4, 2026, 10:44 p.m.
Created at: March 30, 2026, 8:18 p.m.