Triple
T1253032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Box |
E26919
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | Columbia |
E171927
|
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: Columbia | Statement: [Music Box, labelImprint, Columbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbia Context triple: [Music Box, labelImprint, Columbia]
-
A.
Columbia
Columbia is a historic Gold Rush-era town in Tuolumne County, California, preserved today as a state historic park and tourist destination.
-
B.
Columbia
Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
-
C.
Columbia
chosen
Columbia is a major American record label known for signing and releasing music by many influential artists across genres.
-
D.
Columbia
Columbia is a historical and poetic personification of the United States, often used as a national symbol in literature, art, and place names.
-
E.
Columbia
Columbia is an outdoor apparel and footwear brand known for its durable, weather-resistant gear for activities like hiking, skiing, and camping.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf875cf48190b6781d41097ee39b |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67f9b0dc8190a5b38450c227eac5 |
completed | March 8, 2026, 12:13 p.m. |
Created at: March 1, 2026, 7:47 p.m.