Triple
T8785788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So |
E209039
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Sledgehammer |
E209045
|
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: Sledgehammer | Statement: [So, hasTrack, Sledgehammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sledgehammer Context triple: [So, hasTrack, Sledgehammer]
-
A.
Sledgehammer
chosen
"Sledgehammer" is a 1986 hit single by English musician Peter Gabriel, renowned for its soulful sound and groundbreaking stop-motion music video.
-
B.
Sledgehammer
"Sledgehammer" is a pop song by the girl group Fifth Harmony, known for its upbeat production and empowering breakup-themed lyrics.
-
C.
Brink
Brink is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area around the Brink square in Amstelveen, Netherlands.
-
D.
Apex
Apex is a suburban town in North Carolina’s Research Triangle region, known for its historic downtown and high quality of life.
-
E.
Strife
Strife is a 1909 stage play by John Galsworthy that portrays a bitter industrial conflict between capital and labor, highlighting the human cost of class struggle.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f758d348190804942d985f2337c |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51fded4c81909725807e4855c4a2 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:42 p.m.