Triple
T12231697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Cage |
E291490
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Carl Lucas
Carl Lucas is the birth name of Marvel Comics superhero Luke Cage, a bulletproof, super-strong hero from Harlem.
|
E977053
|
NE FINISHED |
How this triple was built (4 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: Carl Lucas | Statement: [Luke Cage, fullName, Carl Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Lucas Context triple: [Luke Cage, fullName, Carl Lucas]
-
A.
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
-
B.
Ben Lucas
Ben Lucas is a central character in the psychological thriller novel "Before I Go to Sleep," serving as the protagonist Christine's husband and a key figure in the mystery surrounding her amnesia.
-
C.
Nick Lucas
Nick Lucas was an American jazz guitarist and singer known as "The Crooning Troubadour," popular in the 1920s and 1930s for his influential recordings and film appearances.
-
D.
Jonathan Lucas
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
-
E.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carl Lucas Triple: [Luke Cage, fullName, Carl Lucas]
Generated description
Carl Lucas is the birth name of Marvel Comics superhero Luke Cage, a bulletproof, super-strong hero from Harlem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Lucas Target entity description: Carl Lucas is the birth name of Marvel Comics superhero Luke Cage, a bulletproof, super-strong hero from Harlem.
-
A.
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
-
B.
Ben Lucas
Ben Lucas is a central character in the psychological thriller novel "Before I Go to Sleep," serving as the protagonist Christine's husband and a key figure in the mystery surrounding her amnesia.
-
C.
Nick Lucas
Nick Lucas was an American jazz guitarist and singer known as "The Crooning Troubadour," popular in the 1920s and 1930s for his influential recordings and film appearances.
-
D.
Jonathan Lucas
Jonathan Lucas is a film editor known for his work on the feature film "Troop Zero."
-
E.
Henry Lucas
Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
- F. None of above. chosen
Provenance (5 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca45bd48190b8b7f6b29b6bb25b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a8e6ba081908428ce11196815cc |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62be354a88190aaf5e8439b33120b |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62c8194d881909db3d320a21f2052 |
completed | May 2, 2026, 4:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.