Triple
T648751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses |
E11297
|
entity |
| Predicate | earlyLifeEvent |
P259
|
FINISHED |
| Object | placed in a basket on the Nile |
—
|
LITERAL 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: placed in a basket on the Nile | Statement: [Moses, earlyLifeEvent, placed in a basket on the Nile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyLifeEvent Context triple: [Moses, earlyLifeEvent, placed in a basket on the Nile]
-
A.
significantEvent
chosen
Indicates that an event involving the entities is of notable importance or impact within a given context.
-
B.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
C.
primaryOccasion
Indicates that one occasion is the main or most significant event associated with a given context, entity, or activity.
-
D.
typicalEvent
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
E.
spentChildhoodIn
Indicates that a person or entity spent the majority or formative years of their childhood in a particular place or location.
- F. None of above.
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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f308f34819094ba28cfc786051e |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0c0dcc8190849211d45489a5a7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.