Triple
T34891385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Strachan |
E1006296
|
entity |
| Predicate | relationshipToJeanPaget |
P205595
|
FINISHED |
| Object | solicitor |
—
|
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: solicitor | Statement: [Noel Strachan, relationshipToJeanPaget, solicitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToJeanPaget Context triple: [Noel Strachan, relationshipToJeanPaget, solicitor]
-
A.
relationshipToJeanieDeans
Indicates the specific type of relationship or connection an entity has to Jeanie Deans.
-
B.
relationshipToJeanLundegaard
Indicates the specific familial, social, or professional relationship that one entity has to Jean Lundegaard.
-
C.
relationshipToJeanValjean
Indicates the specific interpersonal or social connection that an entity has to Jean Valjean.
-
D.
relationshipToCarolPeletier
Indicates the specific familial, social, or interpersonal connection an entity has to Carol Peletier.
-
E.
relationshipToAnne
Indicates the specific familial, social, or interpersonal connection that one entity has to Anne.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
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, 4 p.m.