Triple
T13194625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Hale Jr. |
E314078
|
entity |
| Predicate | film |
P9968
|
FINISHED |
| Object | Up 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: Up Periscope | Statement: [Alan Hale Jr., film, Up Periscope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Up Periscope Context triple: [Alan Hale Jr., film, Up Periscope]
-
A.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
B.
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.
-
C.
Snapchat Lens Explorer
Snapchat Lens Explorer is a discovery interface within Snapchat that lets users browse, search, and try a wide variety of user-created augmented reality Lenses.
-
D.
Viddy
Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
-
E.
Facebook Watch
Facebook Watch is Meta Platforms' video-on-demand and streaming platform for hosting, discovering, and monetizing a wide range of video content on Facebook.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c6158e4819082c8ad75b4dfdd90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f600f7a08190bcdd80d5563517c3 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.