Triple

T6571360
Position Surface form Disambiguated ID Type / Status
Subject Mr. Alonzo Smith E155445 entity
Predicate child P120 FINISHED
Object Esther Smith
Esther Smith is a central daughter in the Smith family from the classic 1944 musical film "Meet Me in St. Louis."
E235584 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: Esther Smith | Statement: [Mr. Alonzo Smith, child, Esther Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esther Smith
Context triple: [Mr. Alonzo Smith, child, Esther Smith]
  • A. Esther Smith
    Esther Smith is the central teenage daughter in the classic 1944 MGM musical film "Meet Me in St. Louis," famously portrayed by Judy Garland.
  • B. Esther Harvey
    Esther Harvey was the wife of renowned American Broadway baritone and actor Alfred Drake.
  • C. Esther Ross
    Esther Ross was the woman who served as the sponsor and ceremonial namesake figure for the U.S. Navy battleship USS Arizona (BB-39) at its christening.
  • D. Esther Harper
    Esther Harper is a character in the animated adventure film "The Sea Beast," depicted as a determined and courageous figure involved in the story’s high-seas monster-hunting exploits.
  • E. Esther Jane Williams
    Esther Jane Williams was an American competitive swimmer turned Hollywood film star, best known for her elaborate aquatic musical films in the 1940s and 1950s.
  • 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: Esther Smith
Triple: [Mr. Alonzo Smith, child, Esther Smith]
Generated description
Esther Smith is a central daughter in the Smith family from the classic 1944 musical film "Meet Me in St. Louis."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Esther Smith
Target entity description: Esther Smith is a central daughter in the Smith family from the classic 1944 musical film "Meet Me in St. Louis."
  • A. Esther Smith chosen
    Esther Smith is the central teenage daughter in the classic 1944 MGM musical film "Meet Me in St. Louis," famously portrayed by Judy Garland.
  • B. Esther Harvey
    Esther Harvey was the wife of renowned American Broadway baritone and actor Alfred Drake.
  • C. Esther Ross
    Esther Ross was the woman who served as the sponsor and ceremonial namesake figure for the U.S. Navy battleship USS Arizona (BB-39) at its christening.
  • D. Esther Harper
    Esther Harper is a character in the animated adventure film "The Sea Beast," depicted as a determined and courageous figure involved in the story’s high-seas monster-hunting exploits.
  • E. Esther Jane Williams
    Esther Jane Williams was an American competitive swimmer turned Hollywood film star, best known for her elaborate aquatic musical films in the 1940s and 1950s.
  • F. None of above.

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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae58b8948190bae11ec3a140aa6f completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4275eec8190ba52fa4fb1bc64db completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e6470fe881908e759bc01bf1a54c completed March 27, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7cc21548190b302e2e31f9cadd0 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:53 p.m.