Triple
T16846348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burn |
E409547
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Malcolm
Malcolm is a central fictional character, likely portrayed as a complex protagonist whose experiences and choices drive the narrative of the story "Burn."
|
E1237236
|
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: Malcolm | Statement: [Burn, mainCharacter, Malcolm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Context triple: [Burn, mainCharacter, Malcolm]
-
A.
John
John Perceval, 2nd Earl of Egmont, was an 18th-century British politician and peer who served in both the Irish and British parliaments and held several high offices under King George III.
-
B.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
C.
John
John is the given name of John Randolph Hearst, a member of the prominent Hearst family associated with American media and publishing.
-
D.
John
John is the given name of John Kennedy Toole, the American novelist best known for his posthumously published comic masterpiece "A Confederacy of Dunces."
-
E.
John
John is the given name of John B. Jervis, a prominent 19th-century American civil engineer known for his work on canals, railroads, and water supply systems.
- 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: Malcolm Triple: [Burn, mainCharacter, Malcolm]
Generated description
Malcolm is a central fictional character, likely portrayed as a complex protagonist whose experiences and choices drive the narrative of the story "Burn."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malcolm Target entity description: Malcolm is a central fictional character, likely portrayed as a complex protagonist whose experiences and choices drive the narrative of the story "Burn."
-
A.
Malcolm
Malcolm is a central human character in "Dawn of the Planet of the Apes," portrayed as a compassionate leader who strives to build peace and cooperation between humans and the intelligent apes.
-
B.
Malcolm
Malcolm is the central child protagonist of the 2016 horror film "The Boy," around whom the movie’s eerie and suspenseful events revolve.
-
C.
Malcolm
Malcolm is the highly intelligent, often sarcastic middle child and main protagonist of the sitcom "Malcolm in the Middle."
-
D.
Malcolm
Malcolm is a 1986 Australian comedy film about a socially awkward but brilliant inventor who becomes involved in an elaborate bank heist.
-
E.
Malcolm
Malcolm is a masculine given name of Scottish origin, traditionally meaning "disciple of Saint Columba."
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b354eaf081908fe6f84a330d7866 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1b47648190909eaaf4e1e8e4c3 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bc22dc1c81909edc5cdb239f0ea8 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bce879648190acbd5645cd1a4ec8 |
completed | May 10, 2026, 5:14 p.m. |
Created at: April 10, 2026, 5:24 a.m.