Triple
T22078886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Victoria Litwack |
E545592
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Defendor |
—
|
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: Defendor | Statement: [Katherine Victoria Litwack, notableWork, Defendor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Defendor Context triple: [Katherine Victoria Litwack, notableWork, Defendor]
-
A.
Defendor
chosen
Defendor is a 2009 dark comedy-drama superhero film starring Woody Harrelson as a delusional vigilante who believes he is a real superhero.
-
B.
Defensor
Defensor is a heroic Autobot combiner formed from the Protectobots, known for his strong sense of duty to protect civilians in the Transformers universe.
-
C.
Defenders
The Defenders are the athletic teams and mascot identity representing Dordt University in collegiate sports.
-
D.
Defenders
The Defenders are a loosely organized team of Marvel Comics superheroes, often featuring mystic and unconventional members, who unite to confront supernatural and reality-threatening menaces.
-
E.
Pantami
Pantami is a town and district in Gombe State, northeastern Nigeria, known for its role as a local administrative and commercial center.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b43df0819090c248ded98fad12 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.