Triple
T17990720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child 44 |
E430362
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Tom Rob Smith
Tom Rob Smith is a British novelist and screenwriter best known for his bestselling Soviet-era thriller "Child 44" and its sequels.
|
E1299863
|
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: Tom Rob Smith | Statement: [Child 44, author, Tom Rob Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Rob Smith Context triple: [Child 44, author, Tom Rob Smith]
-
A.
Michael Grant
Michael Grant is a relatively private individual best known in public records as the former husband of Athena Grant.
-
B.
Michael Grant
Michael Grant is an American rock guitarist and singer best known for his work with the hard rock band L.A. Guns.
-
C.
Austin Grossman
Austin Grossman is an American novelist and video game designer known for his work on narrative-driven games such as System Shock, Deus Ex, and Dishonored.
-
D.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
-
E.
Charles Johnson
Charles Johnson is an American novelist, essayist, and philosopher best known for his National Book Award–winning novel "Middle Passage" and his explorations of African American experience, history, and Buddhist thought.
- 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: Tom Rob Smith Triple: [Child 44, author, Tom Rob Smith]
Generated description
Tom Rob Smith is a British novelist and screenwriter best known for his bestselling Soviet-era thriller "Child 44" and its sequels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Rob Smith Target entity description: Tom Rob Smith is a British novelist and screenwriter best known for his bestselling Soviet-era thriller "Child 44" and its sequels.
-
A.
Michael Grant
Michael Grant is a relatively private individual best known in public records as the former husband of Athena Grant.
-
B.
Michael Grant
Michael Grant is an American rock guitarist and singer best known for his work with the hard rock band L.A. Guns.
-
C.
Austin Grossman
Austin Grossman is an American novelist and video game designer known for his work on narrative-driven games such as System Shock, Deus Ex, and Dishonored.
-
D.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
-
E.
Charles Johnson
Charles Johnson is an American novelist, essayist, and philosopher best known for his National Book Award–winning novel "Middle Passage" and his explorations of African American experience, history, and Buddhist thought.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337acabd481909deced9a61d84ed3 |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a0338cd02808190b650f59fc16bab0d |
completed | May 12, 2026, 2:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033cb498248190a3805cd356832cd0 |
completed | May 12, 2026, 2:44 p.m. |
Created at: April 10, 2026, 10:23 a.m.