Triple
T14610911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Set It Off |
E342956
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Stony
Stony is a central character in the crime drama film "Set It Off," known for her resilience and desperation as she joins her friends in a series of bank robberies to escape poverty and hardship.
|
E1109748
|
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: Stony | Statement: [Set It Off, mainCharacter, Stony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stony Context triple: [Set It Off, mainCharacter, Stony]
-
A.
Stoney
Stoney is the debut studio album by American rapper and singer Post Malone, featuring his breakout hit "Congratulations" and blending hip hop, R&B, and pop influences.
-
B.
Stoney
Stoney is a surname most notably associated with Levar Stoney, the mayor of Richmond, Virginia.
-
C.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
D.
Stone
Stone is a market town in Staffordshire, England, known historically for its canal and brewing heritage.
-
E.
Stone
Stone is a common English surname borne by numerous notable individuals across history, including figures in religion, politics, arts, and sciences.
- 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: Stony Triple: [Set It Off, mainCharacter, Stony]
Generated description
Stony is a central character in the crime drama film "Set It Off," known for her resilience and desperation as she joins her friends in a series of bank robberies to escape poverty and hardship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stony Target entity description: Stony is a central character in the crime drama film "Set It Off," known for her resilience and desperation as she joins her friends in a series of bank robberies to escape poverty and hardship.
-
A.
Stoney
Stoney is the debut studio album by American rapper and singer Post Malone, featuring his breakout hit "Congratulations" and blending hip hop, R&B, and pop influences.
-
B.
Stoney
Stoney is a surname most notably associated with Levar Stoney, the mayor of Richmond, Virginia.
-
C.
Stonem
Stonem is the surname of Tony Stonem, a central character from the British teen drama television series "Skins."
-
D.
Stone
Stone is a market town in Staffordshire, England, known historically for its canal and brewing heritage.
-
E.
Stone
Stone is a village and civil parish in north-west Kent, England, known for its historic church and proximity to the River Thames and the town of Dartford.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb1ad32a4819088e5831f3d74ea4e |
completed | May 8, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb316479c81909343196bb89e5e57 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 10, 2026, 1:25 a.m.