Triple
T3158363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathy Selden |
E66043
|
entity |
| Predicate | singsSong |
P12693
|
FINISHED |
| Object | You Are My Lucky Star |
E121978
|
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: You Are My Lucky Star | Statement: [Kathy Selden, singsSong, You Are My Lucky Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Are My Lucky Star Context triple: [Kathy Selden, singsSong, You Are My Lucky Star]
-
A.
You Are My Lucky Star
chosen
"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.
-
B.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
-
C.
Lucky Day
Lucky Day is one of the three bumbling silent-film actors who mistakenly become real-life heroes in the comedy film "Three Amigos."
-
D.
My Stroke of Luck
My Stroke of Luck is an autobiographical book by actor Kirk Douglas in which he reflects on his life and recovery following a debilitating stroke.
-
E.
Why I Love You
"Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ec0da88190a83f3448ac76e98e |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250a682c8190b01e949f27d6932e |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.