Triple
T8890761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Watch |
E211655
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Let Me Watch |
E211655
|
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: Let Me Watch | Statement: [Let Me Watch, title, Let Me Watch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me Watch Context triple: [Let Me Watch, title, Let Me Watch]
-
A.
Let Me Watch
chosen
Let Me Watch is a track featured on the album "Evolver."
-
B.
Watch What Happens
"Watch What Happens" is an energetic, character-driven solo number from the stage musical Newsies, sung by reporter Katherine as she wrestles with her ambitions, doubts, and determination to expose injustice.
-
C.
Watch What Happens
"Watch What Happens" is a well-known promotional tagline used by the Bravo television network to brand its lineup of reality and pop-culture programming.
-
D.
Stillwatch
Stillwatch is a suspense novel by Mary Higgins Clark that follows a young television journalist uncovering dark political secrets in Washington, D.C.
-
E.
Let Me In Now
Let Me In Now is a track featured on the album "Suit" by American rapper Nelly.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc619188508190aacda410f0b4c98d |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabf01d048190bed52b5b001d7ffa |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.