Triple
T1105337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Foster |
E25475
|
entity |
| Predicate | hasLastNameFrom |
P18
|
FINISHED |
| Object | Jodie Foster family |
—
|
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: Jodie Foster family | Statement: [Charles Foster, hasLastNameFrom, Jodie Foster family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLastNameFrom Context triple: [Charles Foster, hasLastNameFrom, Jodie Foster family]
-
A.
hasLastNameInCommonWith
Indicates that two entities share the same last name.
-
B.
familyName
chosen
Indicates that one entity is the family (last) name associated with another entity (typically a person).
-
C.
hasMarriedSurname
Indicates that a person’s current surname is the one they adopted through marriage.
-
D.
usedWithSurname
Indicates that something (typically a given name or title) is used together with a particular surname in naming or reference.
-
E.
fullNameIncludes
Indicates that one entity’s full name contains another specified string or name component as a substring.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.