Triple
T6379777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continuum |
E143550
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Heavier Things |
E143549
|
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: Heavier Things | Statement: [Continuum, precededBy, Heavier Things]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heavier Things Context triple: [Continuum, precededBy, Heavier Things]
-
A.
Heavier Things
chosen
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."
-
B.
These Things Too
"These Things Too" is a comic collection from the satirical newspaper strip Pearls Before Swine by cartoonist Stephan Pastis.
-
C.
Other Side of Things
"Other Side of Things" is a track from the album *Evolver*, likely showcasing the band's progressive and experimental rock style.
-
D.
State of Things
State of Things is a film featuring Romanian actress Maia Morgenstern in a prominent role.
-
E.
Hot & Heavy
"Hot & Heavy" is an introspective indie rock song by singer-songwriter Lucy Dacus, known for its nostalgic lyrics and emotionally resonant storytelling.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685029488190911fb24c470b6f0d |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63874aba88190a543f21e968fbc06 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:33 p.m.