Triple
T20407887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobody’s Home |
E500517
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ben Moody |
—
|
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: Ben Moody | Statement: [Nobody’s Home, writer, Ben Moody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Moody Context triple: [Nobody’s Home, writer, Ben Moody]
-
A.
Ben Moody
chosen
Ben Moody is an American guitarist, songwriter, and producer best known as a co-founder and former member of the rock band Evanescence.
-
B.
Yan Moore
Yan Moore is a Canadian television writer and producer best known for his work on the Degrassi franchise, including Degrassi: The Next Generation.
-
C.
Doug Madsen
Doug Madsen is a middle-aged suburban man and member of a motorcycle-riding friends group in the comedy film "Wild Hogs."
-
D.
Josh Sitton
Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
E.
Brian Rooks
Brian Rooks is a collegiate sports administrator who serves as the athletic director for Colorado Mesa University's Mavericks athletic programs.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.