Triple
T13585277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Bradley |
E324537
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Little Bradley |
E324537
|
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: Little Bradley | Statement: [Little Bradley, hasName, Little Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Bradley Context triple: [Little Bradley, hasName, Little Bradley]
-
A.
Little Bradley
chosen
Little Bradley is a small rural village and civil parish located in the English county of Suffolk.
-
B.
Little One
Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
-
C.
Little One
"Little One" is a song by the American rock band E.S.P., known as one of the tracks in their musical catalog.
-
D.
Little David
Little David is a song featured on James Taylor’s 1972 album "One Man Dog."
-
E.
Little Arliss
Little Arliss is a children's novel by Fred Gipson that continues the frontier adventures begun in Old Yeller, focusing on the spirited young boy Arliss Coates.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03310fc819092a56b9f2d73f560 |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc148d08190821614a866d1a7f0 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.