Triple
T22952612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie D’Ancanto |
E570059
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Rogue |
—
|
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: Rogue | Statement: [Marie D’Ancanto, alias, Rogue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rogue Context triple: [Marie D’Ancanto, alias, Rogue]
-
A.
Rogue
chosen
Rogue is a popular Marvel Comics superhero and member of the X-Men known for her ability to absorb others’ powers and memories through touch.
-
B.
Rogue
Rogue is a Hearthstone class focused on stealth, combo-based gameplay, and efficient removal using daggers, spells, and sneaky minions.
-
C.
Rogue
Rogue is a 2007 Australian horror thriller film about tourists trapped by a giant man-eating crocodile in a remote Northern Territory river.
-
D.
Rogues
Rogues is the nickname of the Memphis Rogues, a former professional soccer team that competed in the North American Soccer League in the late 1970s and early 1980s.
-
E.
Rogues
Rogues is a recurring team of supervillains in DC Comics, primarily known as a collective of The Flash’s most iconic adversaries.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a34c30819099ff4812500a0991 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.