Triple
T1834802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Award for Best Fanzine |
E41040
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
File 770
File 770 is a long-running science fiction fanzine known for its extensive coverage of fandom news, conventions, and awards.
|
E206636
|
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: File 770 | Statement: [Hugo Award for Best Fanzine, notableWinner, File 770]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: File 770 Context triple: [Hugo Award for Best Fanzine, notableWinner, File 770]
-
A.
File on 4
File on 4 is a long-running BBC Radio 4 investigative journalism programme known for in-depth reports on current affairs, public policy, and social issues.
-
B.
FDsys
FDsys (Federal Digital System) was the U.S. Government Publishing Office’s former online platform for providing free public access to official federal government publications and documents.
-
C.
FAT
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
D.
FAT
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
-
E.
FI-02
FI-02 is the ISO 3166-2 code that designates the region of Southwest Finland within the national subdivision system of Finland.
- 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: File 770 Triple: [Hugo Award for Best Fanzine, notableWinner, File 770]
Generated description
File 770 is a long-running science fiction fanzine known for its extensive coverage of fandom news, conventions, and awards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: File 770 Target entity description: File 770 is a long-running science fiction fanzine known for its extensive coverage of fandom news, conventions, and awards.
-
A.
File on 4
File on 4 is a long-running BBC Radio 4 investigative journalism programme known for in-depth reports on current affairs, public policy, and social issues.
-
B.
FDsys
FDsys (Federal Digital System) was the U.S. Government Publishing Office’s former online platform for providing free public access to official federal government publications and documents.
-
C.
FAT
FAT is the three-letter IATA airport code for Fresno Yosemite International Airport in Fresno, California.
-
D.
FAT
FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
-
E.
FI-02
FI-02 is the ISO 3166-2 code that designates the region of Southwest Finland within the national subdivision system of Finland.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb026aa7c8190bc988d3ee0fd9f41 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b4b4f08190a0e5ad50de5c0ba8 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcd9359b88190ad312ff0389ff1a6 |
completed | March 8, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adce11558c8190bd8c6341837eb792 |
completed | March 8, 2026, 7:29 p.m. |
Created at: March 4, 2026, 7:33 p.m.