Triple
T13982744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace |
E336354
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Overflow |
E1058531
|
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: Overflow | Statement: [Grace, hasTrack, Overflow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overflow Context triple: [Grace, hasTrack, Overflow]
-
A.
Overflow
chosen
"Overflow" is a track from the album *One Place Live*, known for its contemporary worship style and expressive, congregational focus.
-
B.
OOM
OOM is a post-nominal designation used to signify an officer’s appointment to the Order of Merit of the Police Forces in Canada.
-
C.
Overs
"Overs" is a song featured on Simon & Garfunkel's 1968 album *Bookends*, known for its introspective lyrics and mellow, folk-influenced sound.
-
D.
OverDoz
OverDoz is a Los Angeles-based hip hop group known for their eclectic, funk-influenced sound and humorous, energetic style.
-
E.
Overload
"Overload" is a song by the Christian rock band Darkness and Light, likely featuring their characteristic blend of heavy guitar-driven sound and spiritually themed lyrics.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e5f2008190a0701ae37ed5219d |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.