Triple
T4884640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterworld |
E109409
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Davis |
E251894
|
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: John Davis | Statement: [Waterworld, producer, John Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Davis Context triple: [Waterworld, producer, John Davis]
-
A.
John Davis
chosen
John Davis is a prominent American film and television producer known for founding Davis Entertainment and producing numerous major studio movies and series.
-
B.
John Davis
John Davis was a 16th-century English navigator and explorer best known for his Arctic voyages in search of the Northwest Passage.
-
C.
William A. H. Loveland
William A. H. Loveland was a 19th-century American railroad executive and civic leader whose influence on regional development led to the Colorado city of Loveland bearing his name.
-
D.
David Daggett
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.
-
E.
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."
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6de3718881908521968fa6e6b444 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11c83f8bc8190bdf139c9da2dd66b |
completed | March 23, 2026, 10:57 a.m. |
Created at: March 20, 2026, 1:27 p.m.