Triple
T10882837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goebbels children |
E256968
|
entity |
| Predicate | givenNamePattern |
P60600
|
FINISHED |
| Object | All first names begin with the letter H |
—
|
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: All first names begin with the letter H | Statement: [Goebbels children, givenNamePattern, All first names begin with the letter H]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givenNamePattern Context triple: [Goebbels children, givenNamePattern, All first names begin with the letter H]
-
A.
namePattern
chosen
Indicates that an entity’s name follows or matches a specified pattern or format.
-
B.
givenName
Indicates the personal first name assigned to an individual.
-
C.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
D.
fullNameIncludes
Indicates that one entity’s full name contains another specified string or name component as a substring.
-
E.
givenNameInitials
Indicates that one entity’s value represents the initials of the given (first and possibly middle) name of another entity.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751db24208190b3a7ed7eea118522 |
completed | April 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.