Triple
T11524551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballets Jooss |
E273257
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Green Table |
E930163
|
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 Green Table | Statement: [Ballets Jooss, notableWork, The Green Table]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Green Table Context triple: [Ballets Jooss, notableWork, The Green Table]
-
A.
The Green Table
chosen
The Green Table is a landmark 1932 anti-war ballet by choreographer Kurt Jooss that powerfully depicts the futility and brutality of war through expressionist dance.
-
B.
The Green Place
The Green Place is a once-fertile, now-lost oasis homeland of the Vuvalini in the post-apocalyptic world of the film "Mad Max: Fury Road."
-
C.
The Green
The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
-
D.
The Green
The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
-
E.
The Green
The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e7e58d4081909647714975b55422 |
completed | April 21, 2026, 2:58 a.m. |
Created at: April 8, 2026, 9:37 p.m.