Triple
T10669357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Luther |
E251443
|
entity |
| Predicate | hasEnemy |
P4675
|
FINISHED |
| Object |
Henry Madsen
Henry Madsen is a sadistic serial killer and arsonist who serves as one of the primary antagonists in the British crime drama series "Luther."
|
E879501
|
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: Henry Madsen | Statement: [Zoe Luther, hasEnemy, Henry Madsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Madsen Context triple: [Zoe Luther, hasEnemy, Henry Madsen]
-
A.
Nick Mundy
Nick Mundy is a music producer and songwriter known for his work in pop and R&B, including producing the album "What Comes Naturally."
-
B.
John B. McDonald
John B. McDonald was an American civil engineer best known for overseeing the construction of New York City's first subway system.
-
C.
William G. Tragos
William G. Tragos is an American advertising executive best known as a co-founder and longtime leader of the global advertising agency TBWA.
-
D.
Emmet Dalton
Emmet Dalton was an Irish soldier and revolutionary who served as a senior commander in the National Army during the Irish Civil War and later became a prominent film producer.
-
E.
Matthew Malone
Matthew Malone is the central protagonist of the work "Game On," around whom the story’s main events and character development revolve.
- 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: Henry Madsen Triple: [Zoe Luther, hasEnemy, Henry Madsen]
Generated description
Henry Madsen is a sadistic serial killer and arsonist who serves as one of the primary antagonists in the British crime drama series "Luther."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henry Madsen Target entity description: Henry Madsen is a sadistic serial killer and arsonist who serves as one of the primary antagonists in the British crime drama series "Luther."
-
A.
Nick Mundy
Nick Mundy is a music producer and songwriter known for his work in pop and R&B, including producing the album "What Comes Naturally."
-
B.
John B. McDonald
John B. McDonald was an American civil engineer best known for overseeing the construction of New York City's first subway system.
-
C.
William G. Tragos
William G. Tragos is an American advertising executive best known as a co-founder and longtime leader of the global advertising agency TBWA.
-
D.
Emmet Dalton
Emmet Dalton was an Irish soldier and revolutionary who served as a senior commander in the National Army during the Irish Civil War and later became a prominent film producer.
-
E.
Matthew Malone
Matthew Malone is the central protagonist of the work "Game On," around whom the story’s main events and character development revolve.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f861513881909b44c711371086b7 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98865f700819093c8cadc6fcef75f |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ce9ba0c8190a7c62fa670e23705 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:09 p.m.