Triple
T3727494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avicenna |
E81784
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Galen |
E151145
|
NE FINISHED |
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: Galen | Statement: [Avicenna, influencedBy, Galen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galen Context triple: [Avicenna, influencedBy, Galen]
-
A.
Galen
chosen
Galen was a prominent Greek physician, surgeon, and philosopher in the Roman Empire whose medical writings dominated European medicine for over a millennium.
-
B.
Dioscorus of Alexandria
Dioscorus of Alexandria was a 5th-century Coptic patriarch of Alexandria whose controversial leadership and Christological views played a central role in the theological conflicts surrounding the Council of Chalcedon.
-
C.
Dorotheus
Dorotheus was a 6th-century Byzantine jurist who helped systematize and codify Roman law under Emperor Justinian I.
-
D.
Dorotheus
Dorotheus is a relatively obscure historical or religious figure known primarily through their association with Theophilus.
-
E.
Hippocrates of Gela
Hippocrates of Gela was a powerful early 5th-century BC tyrant of the Sicilian city of Gela, known for expanding its territory and influence through military campaigns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf7a6908190bd0c3bb5c55ab9ee |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1102a08190b5965c474dfab6db |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.