Triple
T9429019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Far |
E227325
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Woodstock |
E225687
|
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: Woodstock | Statement: [So Far, hasTrack, Woodstock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodstock Context triple: [So Far, hasTrack, Woodstock]
-
A.
Woodstock
Woodstock is a historic 1969 music festival in upstate New York that became a symbol of the counterculture movement and peace activism.
-
B.
Woodstock
Woodstock is a historic market town in Oxfordshire, England, best known as the location of Blenheim Palace, the birthplace of Sir Winston Churchill.
-
C.
Woodstock
Woodstock is a historical novel by Sir Walter Scott set during the English Civil War, blending political intrigue, romance, and elements of the supernatural.
-
D.
Woodstock
chosen
"Woodstock" is a song written by Joni Mitchell that reflects on the iconic 1969 Woodstock music festival and became widely known through covers by artists like Crosby, Stills, Nash & Young.
-
E.
Woodstock
Woodstock is the small, yellow bird who serves as Snoopy’s loyal friend and sidekick in the Peanuts comic strip.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18208ba9081909efa44f98f90c11a |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:49 p.m.