Triple
T19832977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Indoors |
E476508
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Mike Gibbons |
—
|
NE NERFINISHED |
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: Mike Gibbons | Statement: [The Great Indoors, creator, Mike Gibbons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Gibbons Context triple: [The Great Indoors, creator, Mike Gibbons]
-
A.
Mike Gibbons
chosen
Mike Gibbons is a television writer and producer best known for co-creating and executive producing the Comedy Central series "Tosh.0."
-
B.
Michael Gibbons
Michael Gibbons is a music producer best known for his work on the album "Purple on Time."
-
C.
Sean Gibbons
Sean Gibbons was an Irish civilian who was killed during the Sack of Balbriggan in 1920, a notorious reprisal attack by British forces during the Irish War of Independence.
-
D.
Mike Doling
Mike Doling is an American guitarist best known for his work with metal and alternative bands such as Snot, Soulfly, and Scars on Broadway.
-
E.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.