Triple
T17316692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harland Williams |
E420444
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Down Periscope |
E366509
|
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: Down Periscope | Statement: [Harland Williams, notableWork, Down Periscope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Down Periscope Context triple: [Harland Williams, notableWork, Down Periscope]
-
A.
Down Periscope
chosen
Down Periscope is a 1996 naval comedy film starring Kelsey Grammer as an unconventional submarine commander leading a misfit crew on a wargame mission.
-
B.
Dive
"Dive" is a sensual R&B song by American singer-songwriter Victoria Monét, known for its intimate lyrics, lush production, and vocal performance.
-
C.
Dive
Dive is a 1993 studio album by English soprano Sarah Brightman that explores an ocean-themed pop and classical crossover sound.
-
D.
Dive
"Dive" is a song by the American rock band Nirvana, featured on their 1992 compilation album *Incesticide*.
-
E.
Submersible
Submersible is a line of professional-grade diving watches produced by the luxury Italian-Swiss watchmaker Panerai.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399d2fcc81909916302f141e236b |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.