Triple
T18148455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take the Crown |
E434445
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Losers |
—
|
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: Losers | Statement: [Take the Crown, hasPart, Losers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Losers Context triple: [Take the Crown, hasPart, Losers]
-
A.
Losers
chosen
"Losers" is a moody, genre-blending track by The Weeknd that fuses R&B with electronic and alternative influences on his album *Beauty Behind the Madness*.
-
B.
Beautiful Losers
Beautiful Losers is a 1966 experimental novel by Leonard Cohen, known for its avant-garde style, eroticism, and exploration of religion, politics, and identity in Canadian culture.
-
C.
Even the Losers
"Even the Losers" is a rock song by Tom Petty and the Heartbreakers, widely regarded as one of the standout tracks from their acclaimed 1979 album Damn the Torpedoes.
-
D.
Loser
"Loser" is a 2000 romantic comedy film starring Jason Biggs as a socially awkward college student navigating love and friendship in New York City.
-
E.
Loser
"Loser" is a breakthrough 1993 alternative rock single by Beck that blends folk, hip hop, and lo-fi elements and became his first major hit.
- 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.