Triple
T17890159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ideal Home |
E447293
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Gabrielle Jerou
Gabrielle Jerou is a film producer known for her work on the movie "Ideal Home."
|
E1294942
|
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: Gabrielle Jerou | Statement: [Ideal Home, producer, Gabrielle Jerou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Jerou Context triple: [Ideal Home, producer, Gabrielle Jerou]
-
A.
Gabrielle Bonnke
Gabrielle Bonnke is known as the daughter of the late German Pentecostal evangelist Reinhard Bonnke, famed for his large-scale Christian crusades in Africa.
-
B.
Gabrielle Glore
Gabrielle Glore is a film producer best known for her work on the romantic drama "Sylvie’s Love."
-
C.
Gabrielle Dennis
Gabrielle Dennis is an American actress and comedian known for her roles in television series such as Luke Cage, The Game, and A Black Lady Sketch Show.
-
D.
Gabrielle Allan
Gabrielle Allan is a television writer and producer known for her work on comedy series, including co-creating the animated show "HouseBroken."
-
E.
Gabrielle Simpson
Gabrielle Simpson is the witty and resourceful secretary who becomes the romantic lead opposite a struggling screenwriter in the 1964 romantic comedy film "Paris When It Sizzles."
- 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: Gabrielle Jerou Triple: [Ideal Home, producer, Gabrielle Jerou]
Generated description
Gabrielle Jerou is a film producer known for her work on the movie "Ideal Home."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Jerou Target entity description: Gabrielle Jerou is a film producer known for her work on the movie "Ideal Home."
-
A.
Gabrielle Bonnke
Gabrielle Bonnke is known as the daughter of the late German Pentecostal evangelist Reinhard Bonnke, famed for his large-scale Christian crusades in Africa.
-
B.
Gabrielle Glore
Gabrielle Glore is a film producer best known for her work on the romantic drama "Sylvie’s Love."
-
C.
Gabrielle Dennis
Gabrielle Dennis is an American actress and comedian known for her roles in television series such as Luke Cage, The Game, and A Black Lady Sketch Show.
-
D.
Gabrielle Allan
Gabrielle Allan is a television writer and producer known for her work on comedy series, including co-creating the animated show "HouseBroken."
-
E.
Gabrielle Simpson
Gabrielle Simpson is the witty and resourceful secretary who becomes the romantic lead opposite a struggling screenwriter in the 1964 romantic comedy film "Paris When It Sizzles."
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7828b481909b645fceb37a7ca3 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b22e4bc8190b9b9632870d10334 |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031c438a448190aabbd2057b47a88b |
completed | May 12, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031cc67f7881908933c14a5386fb25 |
completed | May 12, 2026, 12:27 p.m. |
Created at: April 10, 2026, 10:18 a.m.