Triple
T8499297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boat Is Full |
E201174
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Maya Imhoof
Maya Imhoof is a film producer best known for her work on the acclaimed Swiss drama "The Boat Is Full."
|
E740044
|
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: Maya Imhoof | Statement: [The Boat Is Full, producer, Maya Imhoof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Imhoof Context triple: [The Boat Is Full, producer, Maya Imhoof]
-
A.
Maya Pfaff
Maya Pfaff is a member of the extended Bose–Pfaff family, descended from Indian nationalist leader Subhas Chandra Bose through his daughter Anita Bose Pfaff.
-
B.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
C.
Maya Vidal
Maya Vidal is the troubled teenage protagonist of Isabel Allende’s novel "Maya’s Notebook," whose coming-of-age journey unfolds through her candid, reflective diary entries.
-
D.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
E.
Maya Forbes
Maya Forbes is an American screenwriter, director, and producer known for films such as "Infinitely Polar Bear" and for her work on television series like "The Larry Sanders Show."
- 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: Maya Imhoof Triple: [The Boat Is Full, producer, Maya Imhoof]
Generated description
Maya Imhoof is a film producer best known for her work on the acclaimed Swiss drama "The Boat Is Full."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maya Imhoof Target entity description: Maya Imhoof is a film producer best known for her work on the acclaimed Swiss drama "The Boat Is Full."
-
A.
Maya Pfaff
Maya Pfaff is a member of the extended Bose–Pfaff family, descended from Indian nationalist leader Subhas Chandra Bose through his daughter Anita Bose Pfaff.
-
B.
Maya Hansen
Maya Hansen is a brilliant botanist and geneticist in the Marvel Cinematic Universe whose Extremis research plays a pivotal role in the events of Iron Man 3.
-
C.
Maya Vidal
Maya Vidal is the troubled teenage protagonist of Isabel Allende’s novel "Maya’s Notebook," whose coming-of-age journey unfolds through her candid, reflective diary entries.
-
D.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
E.
Maya Forbes
Maya Forbes is an American screenwriter, director, and producer known for films such as "Infinitely Polar Bear" and for her work on television series like "The Larry Sanders Show."
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5984d7481908c41c57bef9cf254 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e0aa7788190abd7bb259966bc44 |
completed | April 2, 2026, 11:07 a.m. |
| NEDg | Description generation | batch_69ce4ff668d4819081f4c3186437291b |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce54cc52cc81908ca48c93956ca86e |
completed | April 2, 2026, 11:36 a.m. |
Created at: March 30, 2026, 6:14 p.m.