Triple
T15675321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Hewitt |
E377427
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Thunderpants |
E520322
|
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: Thunderpants | Statement: [Peter Hewitt, directorOf, Thunderpants]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunderpants Context triple: [Peter Hewitt, directorOf, Thunderpants]
-
A.
Thunderpants
chosen
Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
-
B.
Black Panties
Black Panties is a 2013 R&B studio album by American singer R. Kelly, known for its sexually explicit themes and contemporary R&B sound.
-
C.
The Panties
The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
-
D.
Big Pants
Big Pants is the popular nickname for Beijing's iconic, loop-shaped CCTV Headquarters skyscraper, known for its striking and unconventional architecture.
-
E.
Dirty Pants
"Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756b9af48190a634f23ace966ae9 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:16 a.m.