Triple
T18163186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Parris |
E434818
|
entity |
| Predicate | hasPartIn |
P10186
|
FINISHED |
| Object | The Mash Report |
—
|
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: The Mash Report | Statement: [Rachel Parris, hasPartIn, The Mash Report]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Mash Report Context triple: [Rachel Parris, hasPartIn, The Mash Report]
-
A.
The Mash Report
chosen
The Mash Report is a British satirical news and current affairs television show, fronted by comedian Nish Kumar, that humorously critiques politics and the media.
-
B.
Mash Out Posse
Mash Out Posse is a Brooklyn-based hip hop duo known for their aggressive, hardcore rap style and energetic delivery.
-
C.
The Mess
"The Mess" is a song that appears as the B-side to the single "My Love."
-
D.
The Maddening
The Maddening is a 1995 psychological thriller film starring Burt Reynolds as a deranged patriarch who imprisons a young woman and her family.
-
E.
The Grind
"The Grind" is a song by Erykah Badu from her neo-soul/hip-hop-influenced album *Worldwide Underground*.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec419788190a999a68f32fab39b |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.