Triple
T21556397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texoma Shore |
E531902
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | If I'm Honest |
—
|
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: If I'm Honest | Statement: [Texoma Shore, follows, If I'm Honest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I'm Honest Context triple: [Texoma Shore, follows, If I'm Honest]
-
A.
If I'm Honest
chosen
"If I'm Honest" is a 2016 country music album by American singer Blake Shelton, featuring personal, reflective songs that followed his high-profile divorce and relationship with Gwen Stefani.
-
B.
Honest with Me
"Honest with Me" is a country song by the American duo Love and Theft, featured on one of their studio albums.
-
C.
I’m Just Being Honest
"I’m Just Being Honest" is a song by American rock band Weezer from their 2019 self-titled "Black Album," showcasing the group's characteristic melodic rock style and self-aware lyrics.
-
D.
To Be Honest
"To Be Honest" is a song featured on the album "The Voice."
-
E.
The Honesty
The Honesty is a song by the American rock band Blue October from their album "Any Man in America."
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e04b048190ac3a9913094b4625 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.