Triple
T20820430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of M |
E512559
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Luke Cage |
—
|
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: Luke Cage | Statement: [House of M, mainCharacter, Luke Cage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Cage Context triple: [House of M, mainCharacter, Luke Cage]
-
A.
Luke Cage
chosen
Luke Cage is a Marvel Comics superhero known for his superhuman strength, unbreakable skin, and role as a street-level defender and occasional Avenger.
-
B.
Luke Cage (TV series)
Luke Cage is a Marvel Netflix television series that follows a bulletproof ex-con with superhuman strength as he fights crime and corruption in Harlem.
-
C.
Daredevil
"Daredevil" is a song by American singer-songwriter Fiona Apple from her critically acclaimed album "The Idler Wheel..."
-
D.
Daredevil
Daredevil is a 2003 superhero film based on the Marvel Comics character, following blind lawyer Matt Murdock who fights crime as a vigilante in Hell's Kitchen.
-
E.
Daredevil
Daredevil is a Marvel Comics superhero, the blind lawyer Matt Murdock who uses his heightened remaining senses to fight crime in Hell’s Kitchen.
- 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_69e6c2f6a65481909a0df78616e185e4 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.