Triple
T16435226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regina Lampert |
E399164
|
entity |
| Predicate | interactsWithCharacter |
P12142
|
FINISHED |
| Object | Peter Joshua |
E399165
|
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 Joshua | Statement: [Regina Lampert, interactsWithCharacter, Peter Joshua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Joshua Context triple: [Regina Lampert, interactsWithCharacter, Peter Joshua]
-
A.
Peter Joshua
chosen
Peter Joshua is a charming and enigmatic man who becomes entangled with Audrey Hepburn's character in the 1963 romantic mystery film "Charade."
-
B.
Peter Jacob
Peter Jacob was the first husband of German filmmaker and photographer Leni Riefenstahl.
-
C.
Joshua Bartholomew
Joshua Bartholomew is a Canadian singer-songwriter, producer, and multi-instrumentalist best known for co-writing the hit song "Everything Is Awesome" from The Lego Movie.
-
D.
Joshua Jopp
Joshua Jopp is a minor but pivotal character in Thomas Hardy’s novel "The Mayor of Casterbridge," whose misfortunes and resentments help drive key conflicts in the story.
-
E.
Peter Jaysen
Peter Jaysen is a film producer known for his work on the 2018 adaptation of Ray Bradbury’s dystopian novel "Fahrenheit 451."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba1023481909588aa6a3c677886 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045872a688190bcab27c6a2b952cd |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.