Triple
T13699671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia Kate Dillon |
E328483
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Outside Story
The Outside Story is an independent comedy-drama film featuring Asia Kate Dillon in a prominent role.
|
E1056046
|
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: The Outside Story | Statement: [Asia Kate Dillon, notableWork, The Outside Story]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Outside Story Context triple: [Asia Kate Dillon, notableWork, The Outside Story]
-
A.
The Outside
"The Outside" is a country-pop song by Taylor Swift from her self-titled debut album, reflecting themes of loneliness and feeling like an outsider.
-
B.
The Outing
The Outing is a short story by James Baldwin that explores themes of religion, sexuality, and identity among a group of Black churchgoers on a river excursion.
-
C.
In the Woods
In the Woods is a 19th-century landscape painting by American artist Asher B. Durand, exemplifying the Hudson River School’s detailed and reverent depiction of the natural world.
-
D.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
E.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
- 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: The Outside Story Triple: [Asia Kate Dillon, notableWork, The Outside Story]
Generated description
The Outside Story is an independent comedy-drama film featuring Asia Kate Dillon in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Outside Story Target entity description: The Outside Story is an independent comedy-drama film featuring Asia Kate Dillon in a prominent role.
-
A.
The Outside
"The Outside" is a country-pop song by Taylor Swift from her self-titled debut album, reflecting themes of loneliness and feeling like an outsider.
-
B.
The Outing
The Outing is a short story by James Baldwin that explores themes of religion, sexuality, and identity among a group of Black churchgoers on a river excursion.
-
C.
In the Woods
In the Woods is a 19th-century landscape painting by American artist Asher B. Durand, exemplifying the Hudson River School’s detailed and reverent depiction of the natural world.
-
D.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
E.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794559e9c81909ef8a6d9b9f480b3 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f798aab9c48190acaa78864e89411f |
completed | May 3, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79943e4f4819098fa82cb6a32e08a |
completed | May 3, 2026, 6:51 p.m. |
Created at: April 9, 2026, 9:54 p.m.