Triple
T18008040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speechless |
E430805
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Speechless |
—
|
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: Speechless | Statement: [Speechless, title, Speechless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speechless Context triple: [Speechless, title, Speechless]
-
A.
Speechless
"Speechless" is a romantic R&B ballad by Beyoncé featured on her debut solo album, Dangerously in Love.
-
B.
Speechless
"Speechless" is a powerful ballad performed by Princess Jasmine in Disney's 2019 live-action adaptation of Aladdin, expressing her determination to speak out and claim her agency.
-
C.
Speechless
"Speechless" is a popular country-pop ballad by American duo Dan + Shay, widely recognized for its romantic theme and strong chart performance.
-
D.
Speechless
"Speechless" is a 1994 romantic comedy film about two rival political speechwriters who fall in love during a heated election campaign.
-
E.
Speechless
chosen
"Speechless" is an American television sitcom that follows a family with a teenage son who has cerebral palsy, focusing on their humorous and heartfelt efforts to navigate disability, advocacy, and everyday life.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51d44088190bfcd35e532a4c02a |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.