Triple

T7266934
Position Surface form Disambiguated ID Type / Status
Subject Lana Turner E160998 entity
Predicate birthName P65 FINISHED
Object Julia Jean Turner
Julia Jean Turner, better known as Lana Turner, was a prominent American film actress and pin-up star of Hollywood’s Golden Age.
E655696 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: Julia Jean Turner | Statement: [Lana Turner, birthName, Julia Jean Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia Jean Turner
Context triple: [Lana Turner, birthName, Julia Jean Turner]
  • A. Mrs. Charles Turner Joy
    Mrs. Charles Turner Joy was the ceremonial sponsor of the U.S. Navy destroyer USS Turner Joy (DD-951), traditionally responsible for christening the ship at its launching.
  • B. Mary Turner
    Mary Turner was the mother of English poet and mystic Francis Thompson.
  • C. Elouise Sidwell
    Elouise Sidwell was the wife of American composer and television theme music writer Earle Hagen.
  • D. Jeanette Bazzell Turner
    Jeanette Bazzell Turner is known as a former spouse of influential rock and roll musician and bandleader Ike Turner.
  • E. Anna Pauline Murray
    Anna Pauline "Pauli" Murray was an American civil rights activist, lawyer, Episcopal priest, and writer whose pioneering work on race and gender equality influenced landmark legal strategies and feminist thought.
  • 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: Julia Jean Turner
Triple: [Lana Turner, birthName, Julia Jean Turner]
Generated description
Julia Jean Turner, better known as Lana Turner, was a prominent American film actress and pin-up star of Hollywood’s Golden Age.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Julia Jean Turner
Target entity description: Julia Jean Turner, better known as Lana Turner, was a prominent American film actress and pin-up star of Hollywood’s Golden Age.
  • A. Mrs. Charles Turner Joy
    Mrs. Charles Turner Joy was the ceremonial sponsor of the U.S. Navy destroyer USS Turner Joy (DD-951), traditionally responsible for christening the ship at its launching.
  • B. Mary Turner
    Mary Turner was the mother of English poet and mystic Francis Thompson.
  • C. Elouise Sidwell
    Elouise Sidwell was the wife of American composer and television theme music writer Earle Hagen.
  • D. Jeanette Bazzell Turner
    Jeanette Bazzell Turner is known as a former spouse of influential rock and roll musician and bandleader Ike Turner.
  • E. Anna Pauline Murray
    Anna Pauline "Pauli" Murray was an American civil rights activist, lawyer, Episcopal priest, and writer whose pioneering work on race and gender equality influenced landmark legal strategies and feminist thought.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae7b2108190a6910f6655669db5 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e52b8ea0819096c331f78dee5e4b completed March 28, 2026, 2:26 p.m.
NEDg Description generation batch_69c7e61a517081909fd5dedb8b9c58f0 completed March 28, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_69c7e79dabc08190b486660def5d6c9e completed March 28, 2026, 2:37 p.m.
Created at: March 27, 2026, 2:58 p.m.