Triple
T19876412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen |
E477648
|
entity |
| Predicate | relationshipToEnola |
P110507
|
FINISHED |
| Object | adoptive mother figure |
—
|
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: adoptive mother figure | Statement: [Helen, relationshipToEnola, adoptive mother figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToEnola Context triple: [Helen, relationshipToEnola, adoptive mother figure]
-
A.
relationshipWithEnola
chosen
Indicates that an entity has some form of relationship, connection, or association with Enola.
-
B.
relationshipToDrWatson
Indicates the specific personal or professional relationship an entity has with Dr. Watson.
-
C.
relationshipWithSherlock
Indicates that an entity has a specified type of personal or professional relationship with Sherlock.
-
D.
relationshipToJaneRizzoli
Indicates the specific familial, social, or professional relationship that one entity has to Jane Rizzoli.
-
E.
relationshipToLucyHoneychurch
Indicates the specific type of relationship or connection an entity has to Lucy Honeychurch.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.