Triple
T23467785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Life |
E569142
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Peter Vack |
—
|
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: Peter Vack | Statement: [Love Life, starring, Peter Vack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Vack Context triple: [Love Life, starring, Peter Vack]
-
A.
Peter Vack
chosen
Peter Vack is an American actor, writer, and director known for his roles in independent films and television series such as "Mozart in the Jungle" and "Love Life."
-
B.
Edward Vrdolyak
Edward Vrdolyak is an American lawyer and former Chicago alderman who became a prominent and controversial figure in city politics during the 1970s and 1980s.
-
C.
Victor Kubicek
Victor Kubicek is a film producer best known for co-producing the science fiction action movie "Terminator Salvation."
-
D.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
-
E.
Peter Riedler
Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.