Triple
T1708346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Arizona (BB-39) |
E36921
|
entity |
| Predicate | shipSponsor |
P29743
|
FINISHED |
| Object | Esther Ross |
E36921
|
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 Ross | Statement: [USS Arizona (BB-39), shipSponsor, Esther Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esther Ross Context triple: [USS Arizona (BB-39), shipSponsor, Esther Ross]
-
A.
Esther Ross
chosen
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.
-
B.
Esther Bubley
Esther Bubley was an American documentary photographer best known for her intimate, human-centered images of everyday life in mid-20th-century America, particularly during and after World War II.
-
C.
Esther Harvey
Esther Harvey was the wife of renowned American Broadway baritone and actor Alfred Drake.
-
D.
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.
-
E.
Esther Raab
Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63118618819085700fa84e362d60 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7ed8b7a08190a39f4b90fbf68cd9 |
completed | March 9, 2026, 8:03 a.m. |
Created at: March 4, 2026, 7:30 p.m.