Triple
T22484840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmhouse |
E555851
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Heavy Things |
—
|
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: Heavy Things | Statement: [Farmhouse, hasSingle, Heavy Things]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heavy Things Context triple: [Farmhouse, hasSingle, Heavy Things]
-
A.
Heavy Things
chosen
"Heavy Things" is a song by the American rock band Phish, known for its catchy, groove-oriented style and frequent live performances.
-
B.
Heavier Things
Heavier Things is John Mayer's second studio album, known for its blend of pop-rock and blues influences and featuring hits like "Daughters" and "Clarity."
-
C.
Havin’ Things
"Havin’ Things" is a song featured on the hip-hop album "I Want It All" by Warren G.
-
D.
Heavy Planet
Heavy Planet is a classic science fiction collection by Hal Clement, showcasing his hallmark hard-science worldbuilding and stories set on high-gravity planets.
-
E.
State of Things
State of Things is a film featuring Romanian actress Maia Morgenstern in a prominent role.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3bb8cc8190950efd84ebe86b73 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.