Triple
T9059314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Circle Tour |
E217081
|
entity |
| Predicate | supportingAlbum |
P25321
|
FINISHED |
| Object | The Circle |
E217069
|
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: The Circle | Statement: [The Circle Tour, supportingAlbum, The Circle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Circle Context triple: [The Circle Tour, supportingAlbum, The Circle]
-
A.
The Circle
chosen
The Circle is a 2009 rock album by Bon Jovi that marked the band’s return to a more guitar-driven arena rock sound after their country-influenced work.
-
B.
The Circle
The Circle is a dystopian novel by Dave Eggers that critiques surveillance, social media culture, and the erosion of privacy within a powerful tech corporation.
-
C.
The Circle
The Circle is the popular nickname for Monument Circle, the iconic central traffic circle and civic plaza in downtown Indianapolis, Indiana.
-
D.
The Circle
The Circle is a critically acclaimed Iranian drama film by Jafar Panahi that portrays the harsh social restrictions faced by women in contemporary Iran.
-
E.
The Circle
The Circle is a 2017 techno-thriller film, based on Dave Eggers' novel, that explores the dangers of pervasive surveillance and corporate control in a powerful social media company.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fe00980819082571eccb608d605 |
completed | April 3, 2026, 9:23 p.m. |
Created at: March 30, 2026, 7:10 p.m.