Triple
T15071975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Narrows |
E379898
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Robert Backus
Robert Backus is a fictional character featured in the crime novel "The Narrows" by Michael Connelly.
|
E1134755
|
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: Robert Backus | Statement: [The Narrows, featuresCharacter, Robert Backus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Backus Context triple: [The Narrows, featuresCharacter, Robert Backus]
-
A.
Robert Vinton
Robert Vinton is one of the children of American pop singer Bobby Vinton, who rose to fame in the 1960s and 1970s.
-
B.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
-
C.
Michael Goguen
Michael Goguen is an American animation producer and director best known for his work on numerous superhero and action-oriented animated television series.
-
D.
Fred M. Wilcox
Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
-
E.
Bernard A. Galler
Bernard A. Galler was an American computer scientist known for his contributions to programming languages and software systems, as well as his leadership roles in professional computing organizations.
- 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: Robert Backus Triple: [The Narrows, featuresCharacter, Robert Backus]
Generated description
Robert Backus is a fictional character featured in the crime novel "The Narrows" by Michael Connelly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Backus Target entity description: Robert Backus is a fictional character featured in the crime novel "The Narrows" by Michael Connelly.
-
A.
Robert Vinton
Robert Vinton is one of the children of American pop singer Bobby Vinton, who rose to fame in the 1960s and 1970s.
-
B.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
-
C.
Michael Goguen
Michael Goguen is an American animation producer and director best known for his work on numerous superhero and action-oriented animated television series.
-
D.
Fred M. Wilcox
Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
-
E.
Bernard A. Galler
Bernard A. Galler was an American computer scientist known for his contributions to programming languages and software systems, as well as his leadership roles in professional computing organizations.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7f86df48190b3a2cf441fefb477 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cff69c8190b6252509c1aa7ebb |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea6bf2558819082fc91fe8df6f3f5 |
completed | May 9, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea8018a088190b6eba72a7e6196b2 |
completed | May 9, 2026, 3:20 a.m. |
Created at: April 10, 2026, 3:02 a.m.