Triple
T7299774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mayer |
E167814
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Gravity |
E143556
|
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: Gravity | Statement: [John Mayer, notableSong, Gravity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gravity Context triple: [John Mayer, notableSong, Gravity]
-
A.
Gravity
Gravity is a 2013 science fiction thriller film directed by Alfonso Cuarón that follows astronauts stranded in space after their shuttle is destroyed.
-
B.
Gravity
chosen
"Gravity" is a soulful blues-rock ballad by John Mayer, celebrated for its expressive guitar work and introspective lyrics.
-
C.
Gravity
"Gravity" is a poignant piano-driven ballad by Sara Bareilles that explores the emotional pull of a difficult, lingering relationship.
-
D.
Gravity
"Gravity" is a medical thriller novel by Tess Gerritsen that combines space-station suspense with biomedical disaster.
-
E.
Gravity
"Gravity" is a song by the American rock band Our Lady Peace from their 2002 album of the same name.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebad1b4481909e49ccc580007e4b |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e550645c819085effd46dff60f09 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.