Triple
T4707190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Vogel |
E104417
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Gavin Vogel |
E442879
|
NE FINISHED |
How this triple was built (2 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: Gavin Vogel | Statement: [Lloyd Vogel, hasChild, Gavin Vogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavin Vogel Context triple: [Lloyd Vogel, hasChild, Gavin Vogel]
-
A.
Gavin Vogel
chosen
Gavin Vogel is the son of journalist Lloyd Vogel, a character inspired by real-life writer Tom Junod in the film "A Beautiful Day in the Neighborhood."
-
B.
Gavin Reid
Gavin Reid is a musician best known as a former member of the Scottish post-rock band Mogwai.
-
C.
Gavin Hughes
Gavin Hughes is a character in J.K. Rowling’s contemporary novel *The Casual Vacancy*, involved in the small-town political and social tensions that drive the story.
-
D.
Gavin Lewis
Gavin Lewis is an American actor known for his roles in television series such as "Little Fires Everywhere" and other film and TV projects.
-
E.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63e9f0b88190820aa7fba2f91b6e |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43a16d1c819081e9e20f015c7f90 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:17 p.m.