Triple
T12066473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simona Brown |
E287308
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Run |
E808687
|
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: Run | Statement: [Simona Brown, appearedIn, Run]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Run Context triple: [Simona Brown, appearedIn, Run]
-
A.
Run
chosen
Run is a 2020 psychological horror-thriller film starring Sarah Paulson as an overprotective mother whose disturbing secrets threaten her disabled daughter's independence.
-
B.
Run
"Run" is a popular alternative rock song by American band Collective Soul, known for its melodic acoustic style and introspective lyrics.
-
C.
Run
"Run" is a 2021 pop-rock single by American band OneRepublic, known for its upbeat, anthemic sound and motivational lyrics.
-
D.
Run
Run is a novel by American author Ann Patchett that explores themes of family, race, and politics through the intertwined lives of an Irish Catholic family in Boston.
-
E.
Run
"Run" is a powerfully emotive rock ballad by Snow Patrol that became one of the band's breakthrough hits and a fan-favorite anthem.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904423dc08190a47194422255c62e |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f658bb38819097547d392fcc5405 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.