Triple
T14178691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starcatcher (2023) |
E351396
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Waited All Your Life |
E1084624
|
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: Waited All Your Life | Statement: [Starcatcher (2023), hasPart, Waited All Your Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waited All Your Life Context triple: [Starcatcher (2023), hasPart, Waited All Your Life]
-
A.
Waited All Your Life
chosen
"Waited All Your Life" is a song from the rock band Greta Van Fleet’s album "Starcatcher."
-
B.
Wait for You
"Wait for You" is a hip-hop track by Talib Kweli from his album *Gutter Rainbows*, showcasing his introspective lyrics over soulful, melodic production.
-
C.
Always You
"Always You" is an R&B song by American singer James Ingram, known for its smooth vocals and romantic, soulful style.
-
D.
There Will Always Be a You
"There Will Always Be a You" is a song featured on Donna Summer’s 1979 disco album "Bad Girls."
-
E.
Time of Your Life
Time of Your Life is a late-1990s American television drama series that served as a spin-off of Party of Five, following Jennifer Love Hewitt’s character Sarah as she starts a new life in New York City.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c90abc8190a9b9dc1f50db59fa |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19413bd08190930767abc2c588d4 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:02 a.m.