Triple
T18985365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dee Dee Blanchard |
E464541
|
entity |
| Predicate | misrepresentedDaughterAge |
P134028
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dee Dee Blanchard, misrepresentedDaughterAge, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misrepresentedDaughterAge Context triple: [Dee Dee Blanchard, misrepresentedDaughterAge, yes]
-
A.
misrepresentedAs
Indicates that one entity is falsely or inaccurately presented, portrayed, or described as another entity or in another way.
-
B.
raisesAsDaughter
Indicates that one entity brings up and cares for another as their daughter, in a parental role.
-
C.
possibleDaughter
Indicates that one entity may be the daughter of another, but this relationship is not certain or confirmed.
-
D.
representedAgeLevel
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
E.
wasGivenInsteadOfChild
Indicates that one entity was provided or substituted in place of a child that would otherwise have been given.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65f7f08819088f56e8e030851b1 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:01 p.m.