Triple
T11622805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Cochran |
E276180
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | She’s Got You |
E892141
|
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: She’s Got You | Statement: [Hank Cochran, notableWork, She’s Got You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She’s Got You Context triple: [Hank Cochran, notableWork, She’s Got You]
-
A.
She’s Got You
chosen
"She’s Got You" is a classic 1962 country-pop ballad, best known as one of Patsy Cline’s signature heartbreak songs.
-
B.
She’s Got It All
"She’s Got It All" is a 1997 country love song by Kenny Chesney that became one of his early chart-topping hits.
-
C.
I’ve Got You
"I’ve Got You" is a song that appears as the B-side to Martine McCutcheon’s hit single "Perfect Moment."
-
D.
I Got You
"I Got You" is an R&B ballad by Whitney Houston from her 2002 studio album "Just Whitney."
-
E.
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.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee8762586481909a4b563c827487e0 |
completed | April 26, 2026, 9:45 p.m. |
Created at: April 8, 2026, 9:39 p.m.