Triple
T20195261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Walkin' |
E493066
|
entity |
| Predicate | hasCoverVersionBy |
P11142
|
FINISHED |
| Object | Tommy Sands |
—
|
NE NERFINISHED |
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: Tommy Sands | Statement: [I'm Walkin', hasCoverVersionBy, Tommy Sands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Sands Context triple: [I'm Walkin', hasCoverVersionBy, Tommy Sands]
-
A.
Tommy Sands
chosen
Tommy Sands is an American pop and rock-and-roll singer and actor who rose to fame in the late 1950s and early 1960s.
-
B.
Tommy Edwards
Tommy Edwards was an American pop and R&B singer best known for his 1958 chart-topping hit recording of "It's All in the Game."
-
C.
Tommy Henrich
Tommy Henrich was an American Major League Baseball outfielder and clutch hitter best known for his years with the New York Yankees in the 1930s and 1940s.
-
D.
Tommy Roe
Tommy Roe is an American pop singer-songwriter best known for his 1960s bubblegum and rock hits like "Sheila" and "Dizzy."
-
E.
Tommy Sweet
Tommy Sweet is a successful country music star and former protégé of washed-up singer Bad Blake in the film "Crazy Heart."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad8b3cc8190aa9c9c79c552002a |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.