Triple
T7229152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People of Noah |
E154858
|
entity |
| Predicate | relationshipToNoah |
P75736
|
FINISHED |
| Object | Noah’s community |
—
|
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: Noah’s community | Statement: [People of Noah, relationshipToNoah, Noah’s community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToNoah Context triple: [People of Noah, relationshipToNoah, Noah’s community]
-
A.
relationshipToNaomi
Indicates the specific familial, social, or interpersonal connection that an entity has with Naomi.
-
B.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
-
C.
relationshipToHannah
Indicates the specific type of relationship or connection that an entity has to Hannah.
-
D.
relationshipToBenjy
Indicates the specific type of relationship or connection an entity has to Benjy.
-
E.
relationshipToHuckFinn
Indicates the specific type of personal or social relationship an entity has to Huck Finn.
- F. None of above. chosen
Provenance (4 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9e0ba248190a57a3b4fa8b858c7 |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e8b5f6508190af28e06a7959d717 |
completed | March 27, 2026, 8:29 p.m. |
Created at: March 27, 2026, 2:54 p.m.