Triple

T9720501
Position Surface form Disambiguated ID Type / Status
Subject Tuesday Weld E235451 entity
Predicate familyName P18 FINISHED
Object Weld
Weld is an American actress known for her work in film and television from the 1950s through the 1990s, including acclaimed performances in movies like "Play It As It Lays" and "Looking for Mr. Goodbar."
 E816664 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: Weld | Statement: [Tuesday Weld, familyName, Weld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weld
Context triple: [Tuesday Weld, familyName, Weld]
  • A. Weld
    Weld is a live album by Neil Young and Crazy Horse, renowned for its intense, feedback-heavy performances of his rock classics.
  • B. Weld
    Weld is a farming simulation game in the Harvest Moon series that precedes the installment titled Harvest Moon.
  • C. Bessemer
    Bessemer is an industrial city in Jefferson County, Alabama, historically known for its steelmaking and manufacturing.
  • D. Bessemer
    Bessemer is a surname most notably associated with Sir Henry Bessemer, the English inventor who revolutionized steel production in the 19th century.
  • E. Colfax
    Colfax is a surname most notably associated with Schuyler Colfax, the 17th vice president of the United States under Ulysses S. Grant.
  • 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: Weld
Triple: [Tuesday Weld, familyName, Weld]
Generated description
Weld is an American actress known for her work in film and television from the 1950s through the 1990s, including acclaimed performances in movies like "Play It As It Lays" and "Looking for Mr. Goodbar."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weld
Target entity description: Weld is an American actress known for her work in film and television from the 1950s through the 1990s, including acclaimed performances in movies like "Play It As It Lays" and "Looking for Mr. Goodbar."
  • A. Weld
    Weld is a live album by Neil Young and Crazy Horse, renowned for its intense, feedback-heavy performances of his rock classics.
  • B. Weld
    Weld is a farming simulation game in the Harvest Moon series that precedes the installment titled Harvest Moon.
  • C. Bessemer
    Bessemer is an industrial city in Jefferson County, Alabama, historically known for its steelmaking and manufacturing.
  • D. Bessemer
    Bessemer is a surname most notably associated with Sir Henry Bessemer, the English inventor who revolutionized steel production in the 19th century.
  • E. Colfax
    Colfax is a surname most notably associated with Schuyler Colfax, the 17th vice president of the United States under Ulysses S. Grant.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e419c2c8190b325d5fd692c6000 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f9c4ff4819098ad941438abbe3c completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a0326dd081909e39e422c11cc08f completed April 4, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1a0c22b1c819080741736fd1f152d completed April 4, 2026, 11:37 p.m.
Created at: March 30, 2026, 8:20 p.m.