Triple
T3016443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enola Holmes |
E82347
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ali Mendes
Ali Mendes is a film producer known for her work on the mystery adventure movie "Enola Holmes."
|
E318165
|
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: Ali Mendes | Statement: [Enola Holmes, producer, Ali Mendes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ali Mendes Context triple: [Enola Holmes, producer, Ali Mendes]
-
A.
Vinicius
Vinicius is the yellow, cat-like official mascot of the Rio 2016 Summer Olympics, representing the diverse wildlife and vibrant culture of Brazil.
-
B.
Valdir Bündchen
Valdir Bündchen is a Brazilian public servant and the father of supermodel Gisele Bündchen.
-
C.
Tab Ramos
Tab Ramos is a former American soccer midfielder and influential figure in U.S. soccer history, known for his playmaking skills, World Cup appearances, and later work as a coach and youth development leader.
-
D.
Joe Alves
Joe Alves is an American film production designer, art director, and director best known for his work on major films like Jaws and Close Encounters of the Third Kind.
-
E.
Guilherme Leal
Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
- 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: Ali Mendes Triple: [Enola Holmes, producer, Ali Mendes]
Generated description
Ali Mendes is a film producer known for her work on the mystery adventure movie "Enola Holmes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ali Mendes Target entity description: Ali Mendes is a film producer known for her work on the mystery adventure movie "Enola Holmes."
-
A.
Vinicius
Vinicius is the yellow, cat-like official mascot of the Rio 2016 Summer Olympics, representing the diverse wildlife and vibrant culture of Brazil.
-
B.
Valdir Bündchen
Valdir Bündchen is a Brazilian public servant and the father of supermodel Gisele Bündchen.
-
C.
Tab Ramos
Tab Ramos is a former American soccer midfielder and influential figure in U.S. soccer history, known for his playmaking skills, World Cup appearances, and later work as a coach and youth development leader.
-
D.
Joe Alves
Joe Alves is an American film production designer, art director, and director best known for his work on major films like Jaws and Close Encounters of the Third Kind.
-
E.
Guilherme Leal
Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6c56708190b7d8d08bca727cc1 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6eac1481909d56844e53c37b59 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b12f26a8d08190be6023fb7e3ddee9 |
completed | March 11, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1cb268d9881908766e50524b208cc |
completed | March 11, 2026, 8:05 p.m. |
Created at: March 8, 2026, 3 p.m.