Triple
T22547615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Navy vs. the Night Monsters |
E557468
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | John Conte |
—
|
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: John Conte | Statement: [The Navy vs. the Night Monsters, hasCastMember, John Conte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Conte Context triple: [The Navy vs. the Night Monsters, hasCastMember, John Conte]
-
A.
John Conte
chosen
John Conte was an American actor and television personality known for his work in mid-20th-century film, radio, and TV.
-
B.
Mark Conte
Mark Conte is the son of American film and television actor Richard Conte.
-
C.
Steve Conte
Steve Conte is an American rock guitarist, singer, and songwriter best known for his work with the New York Dolls and various collaborations in rock and anime music.
-
D.
Paul Connolly
Paul Connolly is a name shared by several notable individuals, including journalists, athletes, and academics, whose specific identity depends on the context in which it is used.
-
E.
John LeConte
John LeConte was a 19th-century American physicist and academic known for his work in physical science and his role in higher education, particularly at the University of California.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.