Triple
T18148155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I've Been Expecting You |
E434439
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Win Some Lose Some |
—
|
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: Win Some Lose Some | Statement: [I've Been Expecting You, hasPart, Win Some Lose Some]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Win Some Lose Some Context triple: [I've Been Expecting You, hasPart, Win Some Lose Some]
-
A.
Win Some Lose Some
chosen
"Win Some Lose Some" is a song by British pop artist Robbie Williams, released as part of his successful early solo work.
-
B.
Win Some, Lose Some
"Win Some, Lose Some" is a reflective hip-hop track by Big Sean that explores personal struggles, growth, and the costs of success.
-
C.
Lose to Win
"Lose to Win" is an R&B song by American singer Fantasia Barrino that reflects on overcoming hardship and personal struggle in relationships.
-
D.
Win, Lose or Die
"Win, Lose or Die" is a James Bond novel by British author John Gardner that follows 007 as he tackles a high-stakes terrorist plot involving NATO and global security.
-
E.
You Can’t Win
"You Can’t Win" is a song featured in MJ the Musical, originally known as one of Michael Jackson’s standout numbers from the 1978 film The Wiz.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.