Triple
T8705578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journey Planet |
E206639
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Sara Felix
Sara Felix is a science fiction fan and artist best known for her work in fanzines and convention art, including co-editing the Hugo Award–winning fanzine Journey Planet.
|
E752516
|
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: Sara Felix | Statement: [Journey Planet, editor, Sara Felix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Felix Context triple: [Journey Planet, editor, Sara Felix]
-
A.
Sara Barone
Sara Barone is a composer best known for her work on the nature documentary series Planet Earth III.
-
B.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
C.
Sara Tancredi
Sara Tancredi is a compassionate prison doctor who becomes a crucial ally and love interest to Michael Scofield in the television series "Prison Break."
-
D.
Alexandra Saks
Alexandra Saks is a film producer recognized for her work on independent and studio-backed feature films.
-
E.
Sara Henry
Sara Henry is known as the wife of American voice actor and comedian Mike Henry, recognized for his work on shows like Family Guy.
- 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: Sara Felix Triple: [Journey Planet, editor, Sara Felix]
Generated description
Sara Felix is a science fiction fan and artist best known for her work in fanzines and convention art, including co-editing the Hugo Award–winning fanzine Journey Planet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Felix Target entity description: Sara Felix is a science fiction fan and artist best known for her work in fanzines and convention art, including co-editing the Hugo Award–winning fanzine Journey Planet.
-
A.
Sara Barone
Sara Barone is a composer best known for her work on the nature documentary series Planet Earth III.
-
B.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
C.
Sara Tancredi
Sara Tancredi is a compassionate prison doctor who becomes a crucial ally and love interest to Michael Scofield in the television series "Prison Break."
-
D.
Alexandra Saks
Alexandra Saks is a film producer recognized for her work on independent and studio-backed feature films.
-
E.
Sara Henry
Sara Henry is known as the wife of American voice actor and comedian Mike Henry, recognized for his work on shows like Family Guy.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fcac748190a82b57aeb7c43df9 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28aac77c8190b4f5968643715765 |
completed | April 3, 2026, 2:40 a.m. |
| NEDg | Description generation | batch_69cf2bcff84881908a7985fdf8189583 |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2ca1ddac8190a36367e6bba8e3c8 |
completed | April 3, 2026, 2:57 a.m. |
Created at: March 30, 2026, 6:34 p.m.