Triple
T15379542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Stiller |
E367762
|
entity |
| Predicate | familyName |
P18
|
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: [Jerry Stiller, familyName, Stiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stiller Context triple: [Jerry Stiller, familyName, 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.
Stoltz
Stoltz is a surname most notably associated with American actor and director Eric Stoltz.
-
D.
Brolin
Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
-
E.
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.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e6044488190b0499db109f7f821 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5996408190afab2221d38e0027 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:19 a.m.