Triple
T9553063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Town |
E230469
|
entity |
| Predicate | notableFor |
P22
|
FINISHED |
| Object | hit single With a Little Luck |
E226130
|
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: hit single With a Little Luck | Statement: [London Town, notableFor, hit single With a Little Luck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: hit single With a Little Luck Context triple: [London Town, notableFor, hit single With a Little Luck]
-
A.
You Got Lucky
"You Got Lucky" is a 1982 rock song by Tom Petty and the Heartbreakers, known for its prominent synthesizer riff and its post-apocalyptic themed music video.
-
B.
With a Little Luck
chosen
"With a Little Luck" is a soft rock song by Paul McCartney and his band Wings, released in 1978 and known for its mellow, synth-driven sound and commercial success.
-
C.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
-
D.
Lucky Me
"Lucky Me" is a track featured on Big Sean's 2020 hip-hop album "Detroit 2."
-
E.
Lucky Me
"Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15286f7c881909258b9f06a81e464 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:02 p.m.