Triple
T8458932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Mann |
E199990
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Batwoman |
E334511
|
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: Batwoman | Statement: [Gabriel Mann, appearedIn, Batwoman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batwoman Context triple: [Gabriel Mann, appearedIn, Batwoman]
-
A.
Batwoman
chosen
Batwoman is a DC Comics superheroine and crimefighter, often depicted as a wealthy vigilante in Gotham City who operates independently of Batman.
-
B.
Batgirl
Batgirl is a costumed DC Comics superheroine, most commonly portrayed as Barbara Gordon, who fights crime in Gotham City alongside Batman and the Bat-Family.
-
C.
Birds of Prey
Birds of Prey is a 2020 DC superhero film centered on Harley Quinn teaming up with a group of female vigilantes in Gotham City.
-
D.
Birds of Prey
Birds of Prey is a historical adventure novel by Wilbur Smith set in the 17th century, following high-seas exploits, family rivalries, and colonial-era intrigue.
-
E.
Batman and Harley Quinn
Batman and Harley Quinn is a 2017 animated superhero film from DC Entertainment that pairs Batman with the unpredictable antihero Harley Quinn to stop a global threat.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49e036c8190abb50ca272266ca6 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39caf4bc8190a1850b2124684a2a |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:10 p.m.