Triple
T332296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reflecting Pool |
E6650
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Henry Bacon |
E5197
|
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: Henry Bacon | Statement: [Reflecting Pool, designer, Henry Bacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Bacon Context triple: [Reflecting Pool, designer, Henry Bacon]
-
A.
Henry Bacon
chosen
Henry Bacon was an American architect best known for designing the Lincoln Memorial in Washington, D.C.
-
B.
Thomas Dudley
Thomas Dudley was a prominent early Puritan leader and multiple-term governor of the Massachusetts Bay Colony in 17th-century New England.
-
C.
Thomas Button
Thomas Button was a 17th-century Welsh naval officer and explorer noted for his Arctic voyages in search of the Northwest Passage.
-
D.
Julius Lankershim
Julius Lankershim was a prominent 19th-century Los Angeles landowner and developer whose holdings and influence helped shape early Hollywood and the San Fernando Valley.
-
E.
John Underhill
John Underhill was a 17th-century English colonial soldier and militia leader in New England, known for his prominent and controversial role in early Native American conflicts.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3dd2def2081908bd67a3ae4e93ddf |
completed | March 1, 2026, 6:31 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.