Triple
T16499655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sound City Studios |
E400768
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Tom Skeeter |
E1216769
|
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: Tom Skeeter | Statement: [Sound City Studios, owner, Tom Skeeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Skeeter Context triple: [Sound City Studios, owner, Tom Skeeter]
-
A.
Tom Skeeter
chosen
Tom Skeeter was an American businessman and music-industry figure best known as the co-owner and operator of the legendary Sound City Studios in Los Angeles.
-
B.
Moe Skeeter
Moe Skeeter is the mosquito-themed mascot of the Battle Creek Bombers baseball team.
-
C.
Skeeter Bronson
Skeeter Bronson is the hapless hotel handyman whose imaginative bedtime tales start magically coming true in the family fantasy-comedy film "Bedtime Stories."
-
D.
Tom Snout
Tom Snout is a minor comic character in Shakespeare’s *A Midsummer Night’s Dream*, a rustic tinker who plays the Wall in the craftsmen’s play-within-the-play.
-
E.
Tom Grummett
Tom Grummett is a Canadian comic book artist best known for his work on DC Comics titles such as Superman and Teen Titans.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e35b96881908c9d339eea9e4314 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607e933c8190ae0572583b5a9cbf |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:14 a.m.