Triple
T8493911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Frank Russell |
E201046
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Jay Score
"Jay Score" is a science fiction story by Eric Frank Russell, known for its depiction of a highly competent, seemingly robotic starship officer and its exploration of identity and humanity.
|
E737198
|
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: Jay Score | Statement: [Eric Frank Russell, notableWork, Jay Score]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Score Context triple: [Eric Frank Russell, notableWork, Jay Score]
-
A.
Jay
Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
-
B.
Jay
Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
-
C.
Jay
Jay is the given first name of J. B. Pritzker, the American businessman, philanthropist, and governor of Illinois.
-
D.
Jay
Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
-
E.
Jay
Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
- 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: Jay Score Triple: [Eric Frank Russell, notableWork, Jay Score]
Generated description
"Jay Score" is a science fiction story by Eric Frank Russell, known for its depiction of a highly competent, seemingly robotic starship officer and its exploration of identity and humanity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Score Target entity description: "Jay Score" is a science fiction story by Eric Frank Russell, known for its depiction of a highly competent, seemingly robotic starship officer and its exploration of identity and humanity.
-
A.
Jay
Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
-
B.
Jay
Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
-
C.
Jay
Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
-
D.
Jay
Jay is the given first name of J. B. Pritzker, the American businessman, philanthropist, and governor of Illinois.
-
E.
Jay
Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe579b7088190b297b04527e36a2b |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a5c260c8190bc7012a04363d260 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3ca3be5c8190844e54805e9acaeb |
completed | April 2, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3d4e92e88190a90ba1567c569b00 |
completed | April 2, 2026, 9:56 a.m. |
Created at: March 30, 2026, 6:13 p.m.