Triple
T17260798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stanier |
E419003
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Battles |
E709564
|
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: Battles | Statement: [John Stanier, memberOf, Battles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Battles Context triple: [John Stanier, memberOf, Battles]
-
A.
Battles
chosen
Battles is an American experimental rock band known for its complex, rhythmically intricate compositions and innovative use of looping and electronics.
-
B.
Many Battles
Many Battles is a political memoir by Ernest Gruening that chronicles his long career in journalism, public service, and the fight for Alaskan statehood.
-
C.
Frontiers Battles
Frontiers Battles is a collective term for the early World War I clashes between French and German forces along the Franco-German and Franco-Belgian borders in August 1914.
-
D.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
E.
Battleground
"Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e70b00c8190b0380be08afae18d |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179445cac8190833eb7cd879a93bd |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:39 a.m.