Triple
T20178338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goosebumps (2015 film) |
E492657
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Rob Letterman |
—
|
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: Rob Letterman | Statement: [Goosebumps (2015 film), director, Rob Letterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Letterman Context triple: [Goosebumps (2015 film), director, Rob Letterman]
-
A.
Rob Letterman
chosen
Rob Letterman is an American film director and screenwriter known for his work on major animated and live-action studio films, including family-friendly comedies and adventure movies.
-
B.
Lorne David Michaels
Lorne David Michaels is a Canadian-American television producer, writer, and comedian best known as the creator and longtime executive producer of the sketch comedy show Saturday Night Live.
-
C.
Harry Joseph Letterman
Harry Joseph Letterman is the son of American television host and comedian David Letterman.
-
D.
Brian Matthews
Brian Matthews is an American actor best known for his role in the 1981 slasher film "The Burning."
-
E.
Al Michaels
Al Michaels is a renowned American sportscaster best known for his decades of play-by-play commentary on NFL games and other major sporting events.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.