Triple
T7595350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doom Patrol |
E179843
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Niles Caulder
Niles Caulder is a brilliant but morally ambiguous scientist and leader of the Doom Patrol, often known as "The Chief" in DC Comics.
|
E674808
|
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: Niles Caulder | Statement: [Doom Patrol, hasCharacter, Niles Caulder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niles Caulder Context triple: [Doom Patrol, hasCharacter, Niles Caulder]
-
A.
Doc Shaw
Doc Shaw is an American actor and rapper best known for his roles on Disney XD’s "Pair of Kings" and Tyler Perry’s sitcom "House of Payne."
-
B.
Maxwell Lord
Maxwell Lord is a powerful and morally ambiguous DC Comics businessman and manipulator often associated with the Justice League and Wonder Woman.
-
C.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
D.
Charles Coulson
Charles Coulson was a prominent British theoretical chemist and mathematician known for his pioneering work in quantum chemistry and for authoring the influential book "Valence."
-
E.
Paul Wattson
Paul Wattson was an American Episcopal then Catholic priest best known for his pioneering work in promoting ecumenism and Christian unity in the early 20th century.
- 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: Niles Caulder Triple: [Doom Patrol, hasCharacter, Niles Caulder]
Generated description
Niles Caulder is a brilliant but morally ambiguous scientist and leader of the Doom Patrol, often known as "The Chief" in DC Comics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niles Caulder Target entity description: Niles Caulder is a brilliant but morally ambiguous scientist and leader of the Doom Patrol, often known as "The Chief" in DC Comics.
-
A.
Doc Shaw
Doc Shaw is an American actor and rapper best known for his roles on Disney XD’s "Pair of Kings" and Tyler Perry’s sitcom "House of Payne."
-
B.
Maxwell Lord
Maxwell Lord is a powerful and morally ambiguous DC Comics businessman and manipulator often associated with the Justice League and Wonder Woman.
-
C.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
D.
Charles Coulson
Charles Coulson was a prominent British theoretical chemist and mathematician known for his pioneering work in quantum chemistry and for authoring the influential book "Valence."
-
E.
Paul Wattson
Paul Wattson was an American Episcopal then Catholic priest best known for his pioneering work in promoting ecumenism and Christian unity in the early 20th century.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8619d6f2081908c8b589d4106691f |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c86211e4f88190b38bce6441e33b53 |
completed | March 28, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862bb95e881909a60608a5279238d |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:53 p.m.