Triple
T4811316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hieronymus |
E107073
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Antioch |
E26797
|
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: Antioch | Statement: [Hieronymus, associatedWith, Antioch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antioch Context triple: [Hieronymus, associatedWith, Antioch]
-
A.
Antioch
chosen
Antioch was an important ancient city in Syria that became a major center of early Christianity and missionary activity.
-
B.
Antioch, California
Antioch, California is a historic city in the East Bay region of the San Francisco Bay Area known for its suburban communities along the Sacramento–San Joaquin River Delta.
-
C.
Alexandria
Alexandria is a historic Mediterranean port city in northern Egypt, renowned for its ancient library, lighthouse, and enduring role as a cultural and intellectual center.
-
D.
Alexandria
Alexandria is a mid-sized city in central Louisiana known as a regional hub for government, healthcare, and commerce along the Red River.
-
E.
Alexandria
Alexandria is the young girl whose friendship with a hospitalized stuntman drives the emotional narrative of the fantasy-drama film "The Fall" (2006).
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7d168481908efd9d28b35e4bae |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ca8c29081909701bfd4ea60586d |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:23 p.m.