Triple
T32933021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Lee Hope |
E842446
|
entity |
| Predicate | hasCharacterCreatedUnderName |
P196010
|
FINISHED |
| Object | Bert Bobbsey |
—
|
NE NERFINISHED |
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: Bert Bobbsey | Statement: [Laura Lee Hope, hasCharacterCreatedUnderName, Bert Bobbsey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterCreatedUnderName Context triple: [Laura Lee Hope, hasCharacterCreatedUnderName, Bert Bobbsey]
-
A.
hasCreatedCharacterFor
Indicates that one entity has created or designed a character specifically for another entity or context.
-
B.
hasCharacterNamedAfter
Indicates that one entity has a character whose name is derived from or intentionally based on another entity.
-
C.
nameUsedBy
Indicates that a particular name is employed or referenced by a specific entity.
-
D.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
E.
isIdentityUsedByMultipleCharacters
Indicates that the same identity (such as a name, role, or persona) is shared or used by more than one character.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: May 1, 2026, 1:20 a.m.