Triple
T10261511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speechless |
E240608
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Angela Beyincé |
E577910
|
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: Angela Beyincé | Statement: [Speechless, writer, Angela Beyincé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Beyincé Context triple: [Speechless, writer, Angela Beyincé]
-
A.
Angela Beyincé
chosen
Angela Beyincé is an American songwriter and cousin of Beyoncé who has co-written several of the singer’s tracks.
-
B.
Angela
"Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
-
C.
Angela
Angela is a minor character in the dark comedy crime film "Seven Psychopaths," appearing in the story’s ensemble of eccentric and violent figures.
-
D.
Angela
Angela is the heroine of Matthew Lewis's Gothic melodrama "The Castle Spectre," central to its tale of mystery, romance, and supernatural intrigue.
-
E.
Angela
Angela is a central character in the film "Street Angel," around whom the story’s emotional and dramatic events revolve.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cdcdf8c81909f5a2be1c3aa03a0 |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:32 a.m.