Triple
T21954392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uma Thurman as Poison Ivy |
E542146
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Gotham City |
—
|
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: Gotham City | Statement: [Uma Thurman as Poison Ivy, setting, Gotham City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gotham City Context triple: [Uma Thurman as Poison Ivy, setting, Gotham City]
-
A.
Gotham City
chosen
Gotham City is the dark, crime-ridden fictional metropolis that serves as Batman’s primary setting and symbolizes urban corruption and decay in the DC Comics universe.
-
B.
Metropolis (DC Comics city)
Metropolis (DC Comics city) is the iconic, futuristic urban setting in DC Comics best known as Superman’s primary home and a symbol of hope and modernity in the DC Universe.
-
C.
Star City
Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
-
D.
Star City
Star City is a commonly used nickname for the city of Lincoln, Nebraska.
-
E.
Star City
Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243dfb4081909bc7a722843ffea7 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.