Triple
T20453217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blush |
E501707
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Catch Me |
E1142435
|
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: Catch Me | Statement: [Blush, hasPart, Catch Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catch Me Context triple: [Blush, hasPart, Catch Me]
-
A.
Catch Me
"Catch Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a woman's chilling prediction of her own imminent murder.
-
B.
Catch Me
chosen
"Catch Me" is a song by the band Mother Twilight, showcasing their style and musical identity.
-
C.
Never Catch Me
"Never Catch Me" is a song featured on the album "Rodeo," known for its energetic production and thematic focus on ambition and resilience.
-
D.
Catch You
"Catch You" is a 2007 uptempo pop single by English singer Sophie Ellis-Bextor, known for its catchy chorus and dance-pop production.
-
E.
Catch Me Outside
"Catch Me Outside" is a breakout rap song by Ski Mask the Slump God known for its rapid-fire flow, playful wordplay, and heavy internet meme influence.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08840caccc819082423d0dae166082 |
completed | May 16, 2026, 2:49 p.m. |
Created at: April 16, 2026, 11:32 a.m.