Triple
T20182722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Krupp |
E492771
|
entity |
| Predicate | hasAlterEgoCostume |
P139007
|
FINISHED |
| Object | underpants |
—
|
LITERAL 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: underpants | Statement: [Benjamin Krupp, hasAlterEgoCostume, underpants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlterEgoCostume Context triple: [Benjamin Krupp, hasAlterEgoCostume, underpants]
-
A.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
B.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
C.
haveDistinctCostume
Indicates that the entities each possess a costume that is different from the others’ costumes.
-
D.
isCostumedCharacterFor
Indicates that one entity serves as a costumed character representation or mascot for another entity, typically for promotional or entertainment purposes.
-
E.
hasAlterEgoDevice
Indicates that an entity possesses or is associated with a device specifically used to enable, support, or manifest its alter ego.
- F. None of above. chosen
Provenance (4 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_69e668ef9370819091a8479f811002a9 |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:36 p.m.