Triple
T17166071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meantime |
E416611
|
entity |
| Predicate | mainPerformer |
P1363
|
FINISHED |
| Object | Peter Mengede |
E416607
|
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: Peter Mengede | Statement: [Meantime, mainPerformer, Peter Mengede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Mengede Context triple: [Meantime, mainPerformer, Peter Mengede]
-
A.
Peter Mengede
chosen
Peter Mengede is an Australian guitarist best known as a founding member of the New York alternative metal band Helmet.
-
B.
Anthony Rhulen
Anthony Rhulen was an American film producer known for financing and producing independent movies, including genre and thriller projects in the 2000s and 2010s.
-
C.
Timothy Mertens
Timothy Mertens is a film editor best known for his work on animated features such as "Horton Hears a Who!".
-
D.
Eddy Hartenstein
Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
-
E.
Rudy Gerner
Rudy Gerner is a fictional teenage outcast and bullied camper who becomes the underdog hero in the 1979 comedy film "Meatballs."
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016745f32c81909499f71920e8babe |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:37 a.m.