Triple
T20819183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Kelly |
E512526
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Like a Virgin |
—
|
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: Like a Virgin | Statement: [Tom Kelly, notableWork, Like a Virgin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like a Virgin Context triple: [Tom Kelly, notableWork, Like a Virgin]
-
A.
Like a Virgin
chosen
"Like a Virgin" is a 1984 pop song by Madonna that became one of her signature hits and a defining track of 1980s popular music.
-
B.
Material Girl
"Material Girl" is a 1984 pop song by Madonna that became one of her signature hits and a defining anthem of 1980s consumer culture.
-
C.
Losing My Virginity
Losing My Virginity is the autobiographical memoir of entrepreneur Richard Branson, chronicling his life, business ventures, and the rise of the Virgin Group.
-
D.
Lady Madonna
"Lady Madonna" is a 1968 rock and roll single by the Beatles, notable for its boogie-woogie piano style and lyrics depicting the struggles of a working-class mother.
-
E.
Material Girls
Material Girls is a 2006 teen comedy film about two wealthy sisters who must rebuild their lives and reputations after a scandal ruins their family cosmetics empire.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f5b1e08190a9c26f76bd544b68 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.