Triple
T11769851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncanny X-Men |
E279869
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Colossus |
E508700
|
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: Colossus | Statement: [Uncanny X-Men, featuresCharacter, Colossus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colossus Context triple: [Uncanny X-Men, featuresCharacter, Colossus]
-
A.
Colossus
chosen
Colossus is a powerful Russian mutant superhero from Marvel's X-Men comics, known for transforming his body into organic steel to gain immense strength and durability.
-
B.
Colossus
Colossus is a steel roller coaster at Thorpe Park in the UK, renowned for being the world's first coaster to feature ten inversions.
-
C.
Colossus
Colossus is a towering Protoss war machine from the StarCraft universe, known for its long-range thermal lances that devastate clustered ground forces.
-
D.
Colossus computers
Colossus computers were pioneering British electronic computing machines built during World War II to help decrypt high-level German communications at Bletchley Park.
-
E.
The Colossus
The Colossus is a poem by Sylvia Plath that reflects themes of grief, memory, and a daughter's struggle to reconstruct the overwhelming image of her dead father.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55c9f988190b203b66a28c767ae |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09075aba8819082434a43473025bd |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.