Triple
T20907971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odetta at Carnegie Hall |
E514856
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Timber |
—
|
NE NERFINISHED |
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: Timber | Statement: [Odetta at Carnegie Hall, hasTrack, Timber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timber Context triple: [Odetta at Carnegie Hall, hasTrack, Timber]
-
A.
Timber
Timber is one of the official mascots of the Salt Lake City 2002 Winter Olympics, represented as an animal character symbolizing the spirit of the Games.
-
B.
Timber
chosen
"Timber" is a 2013 dance-pop song by Pitbull featuring Kesha, produced and co-written by Cirkut, known for its harmonica hook and global chart success.
-
C.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
D.
Weeden
Weeden is a surname most notably associated with Brandon Weeden, an American football quarterback who played in the NFL.
-
E.
Roundwood
Roundwood is a residential area or neighborhood within the town of Harpenden in Hertfordshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e900ee7881909ab1046b40dca486 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.