Triple
T11008013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna |
E260170
|
entity |
| Predicate | mentionedWith |
P63729
|
FINISHED |
| Object | Simeon |
E262196
|
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: Simeon | Statement: [Anna, mentionedWith, Simeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simeon Context triple: [Anna, mentionedWith, Simeon]
-
A.
Simeon
Simeon is a biblical figure, one of the twelve sons of Jacob and a progenitor of one of the tribes of Israel.
-
B.
Simeon
Simeon is a person known primarily as the child of the singer Nena.
-
C.
Simeon
Simeon is a monastic name referring to Saint Simeon the Myrrh-streaming, a revered Orthodox Christian saint known for the miraculous flow of myrrh from his relics.
-
D.
Simeon the God-receiver
chosen
Simeon the God-receiver is a biblical figure in Christian tradition revered as the righteous elder who recognized the infant Jesus as the Messiah during His presentation in the Temple.
-
E.
Emmanuel
Emmanuel is a Belgian prince, a member of the royal family of Belgium and the son of King Philippe and Queen Mathilde.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79757bdcc8190900b267826eece21 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8190c888190ba8d6fb2f4f3eb05 |
completed | April 18, 2026, 6:06 p.m. |
Created at: April 8, 2026, 9:25 p.m.