Triple
T14955627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Koechner |
E372916
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bless This Mess |
E708631
|
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: Bless This Mess | Statement: [David Koechner, notableWork, Bless This Mess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bless This Mess Context triple: [David Koechner, notableWork, Bless This Mess]
-
A.
Bless This Mess
chosen
Bless This Mess is an American sitcom about a newlywed couple who leave New York City to run a farm in rural Nebraska, created by Lake Bell and Elizabeth Meriwether.
-
B.
God Bless This Mess
"God Bless This Mess" is a song by Bon Jovi from their album "This House Is Not for Sale."
-
C.
So Blessed
"So Blessed" is a song featured on the album "Emotions."
-
D.
Beautiful Mess
"Beautiful Mess" is a popular country song by American band Diamond Rio, known for its catchy melody and portrayal of love's chaotic charm.
-
E.
Blissing Me
"Blissing Me" is a delicate, introspective electronic ballad by Björk from her album *Utopia*, exploring themes of new love and digital-age intimacy.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9c71cc8190aff9165a6f97981a |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:40 a.m.