Triple
T21992187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admiral Boom |
E543117
|
entity |
| Predicate | relationshipToMaryPoppins |
P139462
|
FINISHED |
| Object | neighbor of Mary Poppins’ employers |
—
|
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: neighbor of Mary Poppins’ employers | Statement: [Admiral Boom, relationshipToMaryPoppins, neighbor of Mary Poppins’ employers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMaryPoppins Context triple: [Admiral Boom, relationshipToMaryPoppins, neighbor of Mary Poppins’ employers]
-
A.
relationshipToMary
chosen
Indicates that one entity stands in a specified personal or social relationship to Mary.
-
B.
relationshipToMickey
Indicates the specific familial, social, or other personal connection that one entity has to Mickey.
-
C.
relationshipToHollyGolightly
Indicates the nature or type of relationship an entity has with Holly Golightly.
-
D.
relationshipToJMBarrie
Indicates the specific personal or professional connection an entity has to J. M. Barrie.
-
E.
relationshipToMadameFoster
Indicates the specific type of relationship or connection an entity has to Madame Foster.
- F. None of above.
Provenance (3 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270e951081908deda039b47ca84b |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:05 p.m.