Triple
T10621969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friday Night Lights |
E250222
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | You Got It |
E202864
|
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 Got It | Statement: [Friday Night Lights, hasPart, You Got It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Got It Context triple: [Friday Night Lights, hasPart, You Got It]
-
A.
You Got It
chosen
"You Got It" is a 1989 rock-pop song by Roy Orbison, released posthumously and celebrated as one of his signature late-career hits.
-
B.
You’ve Got It
"You’ve Got It" is a song by American country singer Billy Ray Cyrus from his 1992 debut album "Some Gave All."
-
C.
I Got You
"I Got You" is a pop song by American singer Bebe Rexha, known for its catchy chorus and emotional lyrics about loyalty and support in a relationship.
-
D.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
You Got Me
"You Got Me" is a Grammy-winning neo-soul/hip-hop song by The Roots featuring Erykah Badu, widely recognized for its innovative blend of live instrumentation and introspective lyricism.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7e5074819096668b53dcc9167a |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:50 p.m.