Triple
T13729140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shillem |
E329745
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Shillem |
E329745
|
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: Shillem | Statement: [Shillem, nameVariant, Shillem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shillem Context triple: [Shillem, nameVariant, Shillem]
-
A.
Shillem
chosen
Shillem is a minor biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
-
B.
Huelén
Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
-
C.
Shilb
Shilb is the historical name of the town now known as Silves, a former Moorish stronghold and important medieval center in southern Portugal.
-
D.
Tergnier
Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
-
E.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0dd20348190adfb1712de06088c |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:55 p.m.