Triple

T3445943
Position Surface form Disambiguated ID Type / Status
Subject Barbara Bain E72678 entity
Predicate givenName P17 FINISHED
Object Millicent
Millicent is the given first name of actress Barbara Bain, known for her roles in the television series "Mission: Impossible" and "Space: 1999."
 E361596 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: Millicent | Statement: [Barbara Bain, givenName, Millicent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Millicent
Context triple: [Barbara Bain, givenName, Millicent]
  • A. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • B. Leatrice Joy
    Leatrice Joy was a prominent American silent film actress of the 1920s known for her expressive performances and distinctive bobbed hairstyle.
  • C. Mollie Malloy
    Mollie Malloy is a supporting character in the classic newsroom comedy "The Front Page," often portrayed as a vulnerable woman entangled in the central murder case and exploited by the press.
  • D. Mildred
    Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
  • E. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • 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: Millicent
Triple: [Barbara Bain, givenName, Millicent]
Generated description
Millicent is the given first name of actress Barbara Bain, known for her roles in the television series "Mission: Impossible" and "Space: 1999."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Millicent
Target entity description: Millicent is the given first name of actress Barbara Bain, known for her roles in the television series "Mission: Impossible" and "Space: 1999."
  • A. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • B. Leatrice Joy
    Leatrice Joy was a prominent American silent film actress of the 1920s known for her expressive performances and distinctive bobbed hairstyle.
  • C. Mollie Malloy
    Mollie Malloy is a supporting character in the classic newsroom comedy "The Front Page," often portrayed as a vulnerable woman entangled in the central murder case and exploited by the press.
  • D. Mildred
    Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
  • E. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2cc3048190ab1385699387df8d completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367fc4e8c81909fb57634113369fa completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b36bb99b7881908d2fcbf53632d98f completed March 13, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69b36c0f15248190a69d301c5ea90b35 completed March 13, 2026, 1:44 a.m.
Created at: March 8, 2026, 3:16 p.m.