Triple
T19454464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Ives |
E486699
|
entity |
| Predicate | subjectNumber |
P135973
|
FINISHED |
| Object | 011's mother |
—
|
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: 011's mother | Statement: [Terry Ives, subjectNumber, 011's mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectNumber Context triple: [Terry Ives, subjectNumber, 011's mother]
-
A.
subjectCount
Indicates the number of subjects associated with or involved in a given entity or context.
-
B.
courseNumber
Indicates the specific numeric identifier assigned to a course within an educational curriculum or catalog.
-
C.
nameOfSubject
Indicates that the predicate specifies the name or label assigned to the subject entity.
-
D.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
E.
subjectGroup
Indicates that an entity functions as a group or collection that the subject belongs to or is categorized under.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c117ac8190a38c01c3191beaea |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.