Triple
T21323467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Daggett |
E525684
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Daggett |
—
|
NE NERFINISHED |
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: David Daggett | Statement: [David Daggett, name, David Daggett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Daggett Context triple: [David Daggett, name, David Daggett]
-
A.
David Daggett
chosen
David Daggett was an American lawyer, judge, and politician from Connecticut who co-founded Yale Law School and served as a U.S. senator and chief justice of the Connecticut Supreme Court.
-
B.
James L. Gage
James L. Gage was the husband of prominent American suffragist and abolitionist Frances Dana Barker Gage.
-
C.
William S. Devery
William S. Devery was a former New York City police chief and Tammany Hall figure who became one of the original co-owners of the franchise that evolved into the New York Yankees.
-
D.
John Daggett
John Daggett is a wealthy and unscrupulous Gotham City businessman from the Batman universe, notably appearing as a corporate antagonist in "The Dark Knight Rises."
-
E.
George T. Dunlap
George T. Dunlap was an American publisher best known as a co-founder of the prominent publishing house Grosset & Dunlap.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed572548190bd71ef690fc7befe |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:40 p.m.