Triple
T13893352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna (debut album) |
E334026
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Lucky Star |
E1067574
|
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: Lucky Star | Statement: [Madonna (debut album), single, Lucky Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Star Context triple: [Madonna (debut album), single, Lucky Star]
-
A.
Lucky Star
chosen
"Lucky Star" is a 1983 dance-pop song by Madonna that became one of her early hits and helped establish her as a major pop icon.
-
B.
You Are My Lucky Star
"You Are My Lucky Star" is a popular American song from the 1930s that became a standard, widely known through its performances in classic Hollywood musicals.
-
C.
Hikari no Wa
Hikari no Wa is a Japanese new religious movement that emerged from the remnants of Aum Shinrikyo, promoting a reformed, non-violent spiritual path.
-
D.
Nisekoi
Nisekoi is a romantic comedy anime and manga series that follows a high school boy forced into a fake relationship with a yakuza boss’s daughter while searching for his childhood promise girl.
-
E.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a537d4819093c2bae2a244816a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce71dcd481908f732542dfb1c3e3 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.