Triple
T5754459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Train of Thought |
E126929
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Res |
E544460
|
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: Res | Statement: [Train of Thought, featuresArtist, Res]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Res Context triple: [Train of Thought, featuresArtist, Res]
-
A.
Res
chosen
Res is an American singer-songwriter known for her genre-blending neo-soul and rock-influenced music, particularly her acclaimed early-2000s work.
-
B.
RES
RES is the abbreviation for Rail Express Systems, a former British Rail sector that specialized in high-speed mail and parcels services.
-
C.
Re
Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
-
D.
RE
RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
-
E.
RE
RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
- 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_69c0a167f2508190a8dd507f237e771b |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:49 p.m.