Triple
T14252164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Mays |
E353295
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shifty |
E1047237
|
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: Shifty | Statement: [Daniel Mays, notableWork, Shifty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shifty Context triple: [Daniel Mays, notableWork, Shifty]
-
A.
Shifty
chosen
Shifty is a 2008 British crime drama film about a young drug dealer over the course of a tense 24 hours on a London estate.
-
B.
Slyly
Slyly is the colorful, dinosaur-like mascot of Japan’s Hiroshima Toyo Carp professional baseball team, known for its playful antics and fan engagement.
-
C.
Shaky
Shaky is a 1981 rock and roll album by Welsh singer Shakin' Stevens that helped cement his popularity in the early 1980s.
-
D.
Shapeshifter
Shapeshifter is an LF Energy open-source project focused on standardizing and streamlining energy market communications and flexibility services.
-
E.
Chingy
Chingy is an American rapper and actor best known for his early-2000s hit singles like "Right Thurr" and his association with the Disturbing tha Peace label.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325a14b881909522b6fbbcc6326f |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:08 a.m.