Triple
T7907951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Millar |
E183623
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nemesis
Nemesis is a creator-owned comic book series by Mark Millar that follows a brilliant, sadistic supervillain who wages war on law enforcement.
|
E696612
|
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: Nemesis | Statement: [Mark Millar, notableWork, Nemesis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nemesis Context triple: [Mark Millar, notableWork, Nemesis]
-
A.
Nemesis
Nemesis is the Greek goddess of retribution and divine justice, known for punishing hubris and restoring moral balance.
-
B.
Nemesis
Nemesis is a novel by Philip Roth that explores themes of fate, guilt, and moral responsibility through the story of a polio outbreak in 1940s Newark.
-
C.
Nemesis
Nemesis is a towering, bioengineered monster from the Resident Evil franchise, known for relentlessly hunting survivors with heavy weaponry and near-invulnerable strength.
-
D.
Nemesis Inferno
Nemesis Inferno is an inverted steel roller coaster themed around a volcanic jungle, located at Thorpe Park in the United Kingdom.
-
E.
Duessa
Duessa is a deceitful sorceress and allegorical embodiment of falsehood and duplicity in Edmund Spenser’s epic poem *The Faerie Queene*.
- 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: Nemesis Triple: [Mark Millar, notableWork, Nemesis]
Generated description
Nemesis is a creator-owned comic book series by Mark Millar that follows a brilliant, sadistic supervillain who wages war on law enforcement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nemesis Target entity description: Nemesis is a creator-owned comic book series by Mark Millar that follows a brilliant, sadistic supervillain who wages war on law enforcement.
-
A.
Nemesis
Nemesis is the Greek goddess of retribution and divine justice, known for punishing hubris and restoring moral balance.
-
B.
Nemesis
Nemesis is a novel by Philip Roth that explores themes of fate, guilt, and moral responsibility through the story of a polio outbreak in 1940s Newark.
-
C.
Nemesis
Nemesis is a towering, bioengineered monster from the Resident Evil franchise, known for relentlessly hunting survivors with heavy weaponry and near-invulnerable strength.
-
D.
Nemesis Inferno
Nemesis Inferno is an inverted steel roller coaster themed around a volcanic jungle, located at Thorpe Park in the United Kingdom.
-
E.
Duessa
Duessa is a deceitful sorceress and allegorical embodiment of falsehood and duplicity in Edmund Spenser’s epic poem *The Faerie Queene*.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a59de00819099f1ce02bb469e75 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd0024c81909679a45612bcb1a7 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1f864c819086d3a2b04061ead0 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76aede388190a56e066c3302c35e |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:03 p.m.