Triple
T22909618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Willoughbys |
E568553
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Andrea Miloro
Andrea Miloro is a film industry professional best known for her executive and production roles in animated features.
|
E1561061
|
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: Andrea Miloro | Statement: [The Willoughbys, editedBy, Andrea Miloro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Miloro Context triple: [The Willoughbys, editedBy, Andrea Miloro]
-
A.
Andrea Calderwood
Andrea Calderwood is a British film and television producer known for acclaimed works such as "The Last King of Scotland" and "The Constant Gardener."
-
B.
Andrea Kremer
Andrea Kremer is an American sports journalist and broadcaster renowned for her pioneering NFL coverage and in-depth reporting on major sporting events.
-
C.
Andrea Oberhauser
Andrea Oberhauser is an individual notable enough to be recognized as a prominent bearer of the surname Oberhauser.
-
D.
Andrea Hricko
Andrea Hricko is a public health expert known for her work on environmental health and the impacts of air pollution on communities.
-
E.
Andrea Parker
Andrea Parker is an American actress best known for her role as the enigmatic Miss Parker on the television series "The Pretender."
- 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: Andrea Miloro Triple: [The Willoughbys, editedBy, Andrea Miloro]
Generated description
Andrea Miloro is a film industry professional best known for her executive and production roles in animated features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrea Miloro Target entity description: Andrea Miloro is a film industry professional best known for her executive and production roles in animated features.
-
A.
Andrea Calderwood
Andrea Calderwood is a British film and television producer known for acclaimed works such as "The Last King of Scotland" and "The Constant Gardener."
-
B.
Andrea Kremer
Andrea Kremer is an American sports journalist and broadcaster renowned for her pioneering NFL coverage and in-depth reporting on major sporting events.
-
C.
Andrea Oberhauser
Andrea Oberhauser is an individual notable enough to be recognized as a prominent bearer of the surname Oberhauser.
-
D.
Andrea Hricko
Andrea Hricko is a public health expert known for her work on environmental health and the impacts of air pollution on communities.
-
E.
Andrea Parker
Andrea Parker is an American actress best known for her role as the enigmatic Miss Parker on the television series "The Pretender."
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807350008190a057e8fb5c363c5f |
completed | April 29, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9d19058819086e2e692adcb0ab0 |
completed | May 19, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_6a0bbce92f7481908d93857c9f1f8a30 |
completed | May 19, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbd88836c8190a1b9e6c72ff8000f |
completed | May 19, 2026, 1:31 a.m. |
Created at: April 17, 2026, 3:42 p.m.