Triple
T28723467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jolie-Pitt |
E730156
|
entity |
| Predicate | formedFromSurnameOf |
P54694
|
FINISHED |
| Object | Angelina Jolie |
—
|
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: Angelina Jolie | Statement: [Jolie-Pitt, formedFromSurnameOf, Angelina Jolie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formedFromSurnameOf Context triple: [Jolie-Pitt, formedFromSurnameOf, Angelina Jolie]
-
A.
familyNameDerivedFrom
chosen
Indicates that one entity’s family name originates from, or is etymologically derived from, another entity.
-
B.
usedAsBirthSurnameOf
Indicates that a particular surname served as the family name an individual was born with.
-
C.
surnameReversedFrom
Indicates that one entity’s surname is derived by reversing the character order of another entity’s surname.
-
D.
fatherSurname
Indicates that one entity has the same surname as, or is identified by, the family name of, the father in relation to another entity.
-
E.
patronymicOrigin
Indicates that one entity’s name is derived from the name of a father or paternal ancestor 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 28, 2026, 5:54 a.m.