Triple
T31511809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belinda Susan Bennett |
E803961
|
entity |
| Predicate | hasSurnameFromParent |
P197850
|
FINISHED |
| Object | Lorne Greene |
—
|
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: Lorne Greene | Statement: [Belinda Susan Bennett, hasSurnameFromParent, Lorne Greene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurnameFromParent Context triple: [Belinda Susan Bennett, hasSurnameFromParent, Lorne Greene]
-
A.
hasFirstNameFromParent
Indicates that an entity’s first name is derived from or inherited from one of its parents’ names.
-
B.
hasBaseSurname
Indicates that an entity’s surname is derived from, or fundamentally corresponds to, a specified base or canonical surname.
-
C.
hasComponentSurname
Indicates that an entity’s full name includes a specified surname as one of its component parts.
-
D.
hasSurnameType
Indicates that an entity’s surname belongs to a particular category or type (e.g., patronymic, toponymic, occupational).
-
E.
hasSeptSurname
Indicates that an entity bears a surname associated with a particular sept (a family subgroup or clan division).
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
| PDg | Predicate description generation | batch_69feb3419158819082f4666077535ca9 |
completed | May 9, 2026, 4:08 a.m. |
Created at: April 30, 2026, 9:50 p.m.