Triple
T5754454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Train of Thought |
E126929
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Common |
E2160
|
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: Common | Statement: [Train of Thought, featuresArtist, Common]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Common Context triple: [Train of Thought, featuresArtist, Common]
-
A.
Common
chosen
Common is an American rapper, actor, and activist known for his socially conscious lyrics and influential role in conscious hip-hop.
-
B.
Comum
Comum, known today as Como, is an ancient town in northern Italy near Lake Como that was an important Roman settlement and later a notable medieval and Renaissance center.
-
C.
Common Voice
Common Voice is an open-source, crowdsourced dataset of voice recordings created to help train and improve speech recognition technologies for diverse languages and accents.
-
D.
Commons
Commons is the commonly used abbreviated name for the House of Commons, the lower house of the Parliament of the United Kingdom.
-
E.
Normal
Normal is a central Illinois town best known as the home of Illinois State University and part of the twin-city community with Bloomington.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02904dcf481909e4340a64ee1034e |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07da656f8819083fa9fc63f2ec4a5 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:49 p.m.