Triple
T14507789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Oxenbould |
E340309
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Maia Thomas
Maia Thomas is an Australian actress known for her work in television and film, and as a relative of actor Ed Oxenbould.
|
E1107892
|
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: Maia Thomas | Statement: [Ed Oxenbould, hasRelative, Maia Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maia Thomas Context triple: [Ed Oxenbould, hasRelative, Maia Thomas]
-
A.
Maia Wilson
Maia Wilson is an American singer and actress best known for her work in musical theatre and as a voice performer in film and television.
-
B.
Maia Campbell
Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
-
C.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
-
D.
Mia Brooks
Mia Brooks is a main character in the teen drama series "Love, Victor," known as Victor's intelligent, artistic, and compassionate friend and love interest.
-
E.
Meagen Fay
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
- 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: Maia Thomas Triple: [Ed Oxenbould, hasRelative, Maia Thomas]
Generated description
Maia Thomas is an Australian actress known for her work in television and film, and as a relative of actor Ed Oxenbould.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maia Thomas Target entity description: Maia Thomas is an Australian actress known for her work in television and film, and as a relative of actor Ed Oxenbould.
-
A.
Maia Wilson
Maia Wilson is an American singer and actress best known for her work in musical theatre and as a voice performer in film and television.
-
B.
Maia Campbell
Maia Campbell is an American actress best known for her role as Tiffany Warren on the 1990s sitcom "In the House."
-
C.
Mia Morgan
Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
-
D.
Mia Brooks
Mia Brooks is a main character in the teen drama series "Love, Victor," known as Victor's intelligent, artistic, and compassionate friend and love interest.
-
E.
Meagen Fay
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a7187c81909f173c2fb70509f5 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd96860ba48190af21941197a97c97 |
completed | May 8, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd974aa0688190916c8d79a68809ee |
completed | May 8, 2026, 7:56 a.m. |
Created at: April 10, 2026, 1:21 a.m.