Triple
T34358843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Darling |
E881813
|
entity |
| Predicate | relationshipTypeWithJimmy Darling |
P205406
|
FINISHED |
| Object | mother-son relationship |
—
|
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: mother-son relationship | Statement: [Ethel Darling, relationshipTypeWithJimmy Darling, mother-son relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithJimmy Darling Context triple: [Ethel Darling, relationshipTypeWithJimmy Darling, mother-son relationship]
-
A.
relationshipToJimmyChance
Indicates the specific familial, social, or personal connection that an entity has to Jimmy Chance.
-
B.
relationshipToJimDear
Indicates a familial, romantic, or otherwise significant personal relationship that an entity has with the person referred to as Jim Dear.
-
C.
relationshipTypeWithLorelai
Indicates the specific nature or category of relationship that an entity has with Lorelai.
-
D.
relationshipWithJamie
Indicates a relationship or connection that an entity has with Jamie.
-
E.
relationshipTypeWith Dolly Talbo
Indicates the specific nature or category of the relationship that an entity has with Dolly Talbo.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:58 a.m.