Triple
T9582245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Paulson |
E231200
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Run
Run is a 2020 psychological horror-thriller film starring Sarah Paulson as an overprotective mother whose disturbing secrets threaten her disabled daughter's independence.
|
E808687
|
NE FINISHED |
How this triple was built (4 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: [Sarah Paulson, notableWork, Run]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Run Context triple: [Sarah Paulson, notableWork, Run]
-
A.
Run
"Run" is a 2021 pop-rock single by American band OneRepublic, known for its upbeat, anthemic sound and motivational lyrics.
-
B.
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.
-
C.
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.
-
D.
Run
"Run" is a powerful pop ballad popularized by British singer Leona Lewis, known for its soaring vocals and emotional delivery.
-
E.
RUN
RUN is the National Rail station code assigned to Runcorn railway station in Cheshire, England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Run Triple: [Sarah Paulson, notableWork, Run]
Generated description
Run is a 2020 psychological horror-thriller film starring Sarah Paulson as an overprotective mother whose disturbing secrets threaten her disabled daughter's independence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Run Target entity description: Run is a 2020 psychological horror-thriller film starring Sarah Paulson as an overprotective mother whose disturbing secrets threaten her disabled daughter's independence.
-
A.
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.
-
B.
Run
"Run" is a powerful pop ballad popularized by British singer Leona Lewis, known for its soaring vocals and emotional delivery.
-
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 the IATA airport code for Roland Garros Airport on Réunion Island in the Indian Ocean.
- F. None of above. chosen
Provenance (5 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cd59008190888eb11f00f61994 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1616a11688190ba47343e4fd913fd |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d16360b7708190bc23294f267ac695 |
completed | April 4, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d163e654388190ba9b617e6fac18ad |
completed | April 4, 2026, 7:17 p.m. |
Created at: March 30, 2026, 8:05 p.m.