Triple

T12565099
Position Surface form Disambiguated ID Type / Status
Subject The Goddess E295450 entity
Predicate starring P1507 FINISHED
Object Anita Stewart
Anita Stewart was a popular American silent film actress of the 1910s and 1920s known for her leading roles in romantic dramas and melodramas.
E1084350 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: Anita Stewart | Statement: [The Goddess, starring, Anita Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anita Stewart
Context triple: [The Goddess, starring, Anita Stewart]
  • A. Anita Thompson
    Anita Thompson is an American author and editor best known for preserving and promoting the legacy of her late husband, gonzo journalist Hunter S. Thompson.
  • B. Anita Livingston
    Anita Livingston is the mother of American singer, pianist, and actor Harry Connick Jr.
  • C. Anita Coleman
    Anita Coleman is a fictional character known as a relative of Dino Brewster in the "Need for Speed" film universe.
  • D. Anita Scott
    Anita Scott is known as the wife of former NBA player and coach Byron Scott.
  • E. Anita Barker
    Anita Barker is a collegiate sports administrator who serves as the athletic director for the Chico State Wildcats at California State University, Chico.
  • 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: Anita Stewart
Triple: [The Goddess, starring, Anita Stewart]
Generated description
Anita Stewart was a popular American silent film actress of the 1910s and 1920s known for her leading roles in romantic dramas and melodramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anita Stewart
Target entity description: Anita Stewart was a popular American silent film actress of the 1910s and 1920s known for her leading roles in romantic dramas and melodramas.
  • A. Anita Thompson
    Anita Thompson is an American author and editor best known for preserving and promoting the legacy of her late husband, gonzo journalist Hunter S. Thompson.
  • B. Anita Livingston
    Anita Livingston is the mother of American singer, pianist, and actor Harry Connick Jr.
  • C. Anita Coleman
    Anita Coleman is a fictional character known as a relative of Dino Brewster in the "Need for Speed" film universe.
  • D. Anita Scott
    Anita Scott is known as the wife of former NBA player and coach Byron Scott.
  • E. Anita Barker
    Anita Barker is a collegiate sports administrator who serves as the athletic director for the Chico State Wildcats at California State University, Chico.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7c93f048190a755addc0922064b completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd0698d8548190a0f79f1d34aae6fe completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd06efebf88190baee5f42b6da605b completed May 7, 2026, 9:41 p.m.
Created at: April 8, 2026, 11:49 p.m.