Triple
T13777271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blu |
E331041
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Miles |
E245587
|
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: Miles | Statement: [Blu, notableWork, Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Context triple: [Blu, notableWork, Miles]
-
A.
Miles
Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
-
B.
Miles
chosen
Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
-
C.
Miles
Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
-
D.
Miles
Miles is a charming, affable film composer portrayed by Jack Black in the romantic comedy "The Holiday."
-
E.
Miles
Miles is a surname most notably associated with Nelson A. Miles, a prominent United States Army general of the late 19th and early 20th centuries.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86c9ff88190a2e4f6aa907f2eba |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.