Triple
T34780978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bates |
E1002658
|
entity |
| Predicate | relationshipToElizabethBates |
P205555
|
FINISHED |
| Object | emotionally distant husband |
—
|
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: emotionally distant husband | Statement: [John Bates, relationshipToElizabethBates, emotionally distant husband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToElizabethBates Context triple: [John Bates, relationshipToElizabethBates, emotionally distant husband]
-
A.
relationshipToElizabethBennet
Indicates the specific familial, social, or interpersonal connection that an entity has to Elizabeth Bennet.
-
B.
relationshipToJaneRizzoli
Indicates the specific familial, social, or professional relationship that one entity has to Jane Rizzoli.
-
C.
relationshipToEleanorVance
Indicates the specific nature or type of relationship an entity has with Eleanor Vance.
-
D.
relationshipToBeth
Indicates the specific type of relationship or connection that an entity has to Beth.
-
E.
relationshipToLiza
Indicates the specific type of personal or social relationship that one entity has with Liza.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
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 3, 2026, 3:59 p.m.