Triple
T37889203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekwefi |
E945078
|
entity |
| Predicate | relationshipWithEzinma |
P204456
|
FINISHED |
| Object | exceptionally close bond |
—
|
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: exceptionally close bond | Statement: [Ekwefi, relationshipWithEzinma, exceptionally close bond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithEzinma Context triple: [Ekwefi, relationshipWithEzinma, exceptionally close bond]
-
A.
relationshipToEdd
Indicates the specific type of relationship or connection that an entity has to Edd.
-
B.
relationshipToPuntila
Indicates the type or nature of a relationship that an entity has to Puntila.
-
C.
relationshipToAmina
Indicates the specific type of relationship or connection that an entity has with Amina.
-
D.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
-
E.
relationshipToPármeno
Indicates the specific type of personal or social relationship that one entity has to Pármeno.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.