Triple

T13542345
Position Surface form Disambiguated ID Type / Status
Subject Lou Rawls E323417 entity
Predicate spouse P13 FINISHED
Object Lana Rawls
Lana Rawls is best known as the wife of legendary American soul and R&B singer Lou Rawls.
E1051862 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: Lana Rawls | Statement: [Lou Rawls, spouse, Lana Rawls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lana Rawls
Context triple: [Lou Rawls, spouse, Lana Rawls]
  • A. Lana Morris
    Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
  • B. Marlena Evans
    Marlena Evans is a long-running, iconic fictional psychiatrist and central heroine on the American soap opera "Days of Our Lives."
  • C. Lauren Lane
    Lauren Lane is an American television and stage actress best known for playing the sophisticated and sarcastic C.C. Babcock on the 1990s sitcom "The Nanny."
  • D. Rachel Lane
    Rachel Lane is a central character in John Grisham’s legal thriller "The Testament," known as a missionary heiress whose unexpected inheritance drives the novel’s plot.
  • E. Lorraine Blake
    Lorraine Blake is a fictional character from the television series M*A*S*H, known as the wife of Lieutenant Colonel Henry Blake.
  • 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: Lana Rawls
Triple: [Lou Rawls, spouse, Lana Rawls]
Generated description
Lana Rawls is best known as the wife of legendary American soul and R&B singer Lou Rawls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lana Rawls
Target entity description: Lana Rawls is best known as the wife of legendary American soul and R&B singer Lou Rawls.
  • A. Lana Morris
    Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
  • B. Marlena Evans
    Marlena Evans is a long-running, iconic fictional psychiatrist and central heroine on the American soap opera "Days of Our Lives."
  • C. Lauren Lane
    Lauren Lane is an American television and stage actress best known for playing the sophisticated and sarcastic C.C. Babcock on the 1990s sitcom "The Nanny."
  • D. Rachel Lane
    Rachel Lane is a central character in John Grisham’s legal thriller "The Testament," known as a missionary heiress whose unexpected inheritance drives the novel’s plot.
  • E. Lorraine Blake
    Lorraine Blake is a fictional character from the television series M*A*S*H, known as the wife of Lieutenant Colonel Henry Blake.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f84935c8190b9e41f44140066e5 completed May 3, 2026, 5:01 p.m.
NEDg Description generation batch_69f783e6f670819082fe29673a47ed1e completed May 3, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_69f7849416b88190a0ef9d3e26e7b129 completed May 3, 2026, 5:23 p.m.
Created at: April 9, 2026, 9:45 p.m.