Triple
T26651076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarlett Johansson as Kelly Foster |
E669055
|
entity |
| Predicate | helpsFamilyOf |
P87131
|
FINISHED |
| Object | Benjamin Mee |
—
|
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: Benjamin Mee | Statement: [Scarlett Johansson as Kelly Foster, helpsFamilyOf, Benjamin Mee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsFamilyOf Context triple: [Scarlett Johansson as Kelly Foster, helpsFamilyOf, Benjamin Mee]
-
A.
supportedFamilyLifeOf
chosen
Indicates that one entity provided assistance or resources that helped sustain or improve the family life or family-related well-being of another entity.
-
B.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
C.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
-
D.
familyApplication
Indicates that an application or request is made in the context of a family relationship, typically involving or affecting multiple family members.
-
E.
worksForFamily
Indicates that one entity is employed by or performs work on behalf of another entity that is a family member or family unit.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f616798e408190b271a85ebdb78cd1 |
completed | May 2, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:33 a.m.