Triple
T7026580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Abbott |
E162961
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | HB Studio |
E279958
|
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: HB Studio | Statement: [Christopher Abbott, educatedAt, HB Studio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HB Studio Context triple: [Christopher Abbott, educatedAt, HB Studio]
-
A.
HB Studio
chosen
HB Studio is a renowned New York City acting school and studio known for training many prominent stage and screen actors.
-
B.
Bron Studios
Bron Studios is a Canadian film and television production company known for financing and producing a range of high-profile, award-winning Hollywood projects.
-
C.
Studio B
Studio B is one of the professional recording rooms within Electrical Audio, a renowned Chicago-based recording studio complex founded by Steve Albini.
-
D.
Studio B
Studio B is a recording and production room within Fantasy Studios, a renowned professional studio complex used for music, film, and other audio projects.
-
E.
Studio B
Studio B is one of the professional recording rooms within NRG Recording Studios, used for high-quality music production and audio recording.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77588285481909799a2bb76921b9a |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:35 p.m.