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.