Triple
T20558993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jolene |
E504793
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Coco Leger
Coco Leger is a character appearing in the film "Jolene."
|
E1437651
|
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: Coco Leger | Statement: [Jolene, featuresCharacter, Coco Leger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coco Leger Context triple: [Jolene, featuresCharacter, Coco Leger]
-
A.
Cactus Moser
Cactus Moser is an American musician and drummer best known as a member of the country band Highway 101 and for his long career in country music.
-
B.
Sylla Petit
Sylla Petit is an individual member of the Petit family, known primarily through their association with this family lineage.
-
C.
Marcelle
Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
-
D.
Cécile La Grenade
Cécile La Grenade is a Grenadian food scientist and politician who became the country’s first female Governor-General.
-
E.
Coco Francini
Coco Francini is a film and television producer known for her work on high-profile projects including the acclaimed miniseries "Mrs. America."
- 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: Coco Leger Triple: [Jolene, featuresCharacter, Coco Leger]
Generated description
Coco Leger is a character appearing in the film "Jolene."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coco Leger Target entity description: Coco Leger is a character appearing in the film "Jolene."
-
A.
Cactus Moser
Cactus Moser is an American musician and drummer best known as a member of the country band Highway 101 and for his long career in country music.
-
B.
Sylla Petit
Sylla Petit is an individual member of the Petit family, known primarily through their association with this family lineage.
-
C.
Marcelle
Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
-
D.
Cécile La Grenade
Cécile La Grenade is a Grenadian food scientist and politician who became the country’s first female Governor-General.
-
E.
Coco Francini
Coco Francini is a film and television producer known for her work on high-profile projects including the acclaimed miniseries "Mrs. America."
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5e178648190910795bae5422e50 |
completed | April 20, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a5796df48190b96841c94a6311c0 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a68c08dc8190a09854800df82686 |
completed | May 16, 2026, 5:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a7331cc88190a9ed6056e5743e69 |
completed | May 16, 2026, 5:19 p.m. |
Created at: April 16, 2026, 11:38 a.m.