Triple
T5320216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Anna Smith |
E121653
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Esther Smith |
E235584
|
NE FINISHED |
How this triple was built (2 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: [Mrs. Anna Smith, hasChild, Esther Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esther Smith Context triple: [Mrs. Anna Smith, hasChild, Esther Smith]
-
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 Drummond
Esther Drummond is a CIA analyst who becomes a key member of the Torchwood team in the science fiction television series "Torchwood: Miracle Day."
-
E.
Esther Champion
Esther Champion was the wife of Moses Cleaveland, the American surveyor and founder of the city of Cleveland, Ohio.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8574c4b48190a0513ce59eedb564 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf332d0c608190be0c8e740fe216b7 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 1:59 p.m.