Triple
T20621517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loaded |
E506708
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Squeeze |
E1389732
|
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: Squeeze | Statement: [Loaded, followedBy, Squeeze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Squeeze Context triple: [Loaded, followedBy, Squeeze]
-
A.
Squeeze
Squeeze is a surreal, satirical video installation by artist Mika Rottenberg that explores themes of labor, globalization, and the absurdity of production processes.
-
B.
Squeeze
chosen
Squeeze is a British rock and new wave band, best known for their clever, melodic pop songs that gained prominence in the late 1970s and 1980s.
-
C.
Squeeze
Squeeze is a member of the pioneering New Zealand punk band Suburban Reptiles, active in the late 1970s.
-
D.
The Squeeze
The Squeeze is a 1977 British crime thriller film starring Stacy Keach and David Hemmings, noted for its gritty depiction of London’s criminal underworld.
-
E.
Squeeze Me
"Squeeze Me" is a classic jazz standard composed by Fats Waller that has become a staple of the early 20th-century American songbook.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1987e08190a9ecf4fe131c1cb4 |
completed | May 16, 2026, 6:44 p.m. |
Created at: April 16, 2026, 11:42 a.m.