Triple
T20828290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabal |
E512760
|
entity |
| Predicate | activeDuringStoryline |
P141988
|
FINISHED |
| Object | Siege |
—
|
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: Siege | Statement: [Cabal, activeDuringStoryline, Siege]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siege Context triple: [Cabal, activeDuringStoryline, Siege]
-
A.
Siege
chosen
Siege is a Marvel Comics crossover storyline in which Norman Osborn launches a devastating assault on Asgard, culminating the Dark Reign era.
-
B.
Lang Siege
Lang Siege is an alternative name for the Marian civil war, a 16th-century Scottish conflict over the legitimacy of Mary, Queen of Scots’ rule.
-
C.
The Siege
The Siege is a 1998 American political thriller film about martial law in New York City following a series of terrorist attacks, starring Denzel Washington, Annette Bening, and Bruce Willis.
-
D.
Seige Monstracity
Seige Monstracity is a hip-hop artist known for his gritty lyricism and collaborations within the underground rap scene.
-
E.
Fortress
A fortress is a heavily fortified defensive structure, often with thick walls, towers, and battlements, built to protect people and strategic locations from attack.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c31e387481909fcf323f97019803 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.