Triple
T14526863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Good to Be True |
E340800
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Too Good to Be True |
E340800
|
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: Too Good to Be True | Statement: [Too Good to Be True, title, Too Good to Be True]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Good to Be True Context triple: [Too Good to Be True, title, Too Good to Be True]
-
A.
"Too Good to Be True"
chosen
"Too Good to Be True" is a musical number featured in Disney's 1947 animated package film *Fun and Fancy Free*.
-
B.
It's True
"It's True" is a song featured on the album *All I Feel* by R&B singer Lloyd.
-
C.
I Could Not Believe It Was True
"I Could Not Believe It Was True" is a country song featured as one of the tracks on Willie Nelson’s concept album *Red Headed Stranger*.
-
D.
Tell Me That It Isn't True
"Tell Me That It Isn't True" is a country-influenced song by Bob Dylan featured on his late-1960s album Nashville Skyline.
-
E.
Too Good
Too Good is a song featured on Drake’s 2016 album "Views," known for its dancehall-influenced sound and collaboration with Rihanna.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a52260881909a0d85603666107d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.