Triple
T23075483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Science Society |
E575318
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object | Isis |
—
|
NE NERFINISHED |
How this triple was built (2 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: Isis | Statement: [History of Science Society, publishes, Isis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isis Context triple: [History of Science Society, publishes, Isis]
-
A.
Isis
"Isis" is a 1975 narrative ballad by Bob Dylan, co-written with Jacques Levy, known for its surreal storytelling and prominent place on the album *Desire*.
-
B.
Isis
Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
-
C.
Isis
Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
-
D.
Isis
Isis is a central character in the cheerleading film "Bring It On," known as the strong, talented captain of the East Compton Clovers squad.
-
E.
Isis
chosen
Isis is a leading peer-reviewed academic journal that publishes scholarly research on the history of science, medicine, and technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.