Triple
T7418846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strut |
E171193
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Strut |
E171193
|
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: Strut | Statement: [Strut, hasTrack, Strut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strut Context triple: [Strut, hasTrack, Strut]
-
A.
Strut
chosen
"Strut" is a 2014 rock and funk-influenced studio album by American musician Lenny Kravitz, noted for its retro sound and energetic style.
-
B.
Strut
"Strut" is a 1984 pop song by Scottish singer Sheena Easton that became one of her signature hits, noted for its catchy hook and commentary on gender double standards.
-
C.
Strutt
Strutt is the aristocratic English family name of the lineage that includes the physicist John William Strutt, 3rd Baron Rayleigh.
-
D.
Slat
Slat is a Dutch inventor and entrepreneur best known as the founder and CEO of The Ocean Cleanup, a project aimed at removing plastic pollution from the world’s oceans.
-
E.
MacPherson strut
The MacPherson strut is a widely used automotive suspension design that combines a shock absorber and coil spring into a single compact unit to support and guide a vehicle’s front wheels.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277c92788190bcd36cfa461b4d95 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.