Triple
T4160849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Frisch |
E91529
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Stiller |
E91531
|
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: Stiller | Statement: [Max Frisch, notableWork, Stiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stiller Context triple: [Max Frisch, notableWork, Stiller]
-
A.
Stiller
chosen
Stiller is a 1954 novel by Swiss author Max Frisch that explores themes of identity, self-deception, and the impossibility of truly knowing oneself.
-
B.
Quinlin Dempsey Stiller
Quinlin Dempsey Stiller is the son of actors Ben Stiller and Christine Taylor and has done some voice acting in animated films.
-
C.
Kent Smith
Kent Smith was an American film and television actor known for his roles in classic Hollywood thrillers and dramas, including notable appearances in 1940s suspense films.
-
D.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
E.
Nicholson
Nicholson is a surname of English and Scottish origin, traditionally meaning "son of Nicholas."
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f42f2cc8190ae10ea12273c930a |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.