Triple
T29875740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traci Wolfe |
E758722
|
entity |
| Predicate | hasNotableFamilyRelationOnScreen |
P190479
|
FINISHED |
| Object | Roger Murtaugh (fictional father) |
—
|
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: Roger Murtaugh (fictional father) | Statement: [Traci Wolfe, hasNotableFamilyRelationOnScreen, Roger Murtaugh (fictional father)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFamilyRelationOnScreen Context triple: [Traci Wolfe, hasNotableFamilyRelationOnScreen, Roger Murtaugh (fictional father)]
-
A.
hasMainCastFamilyRelationship
Indicates that there is a family relationship between members of the main cast in a work (e.g., film, series, or play).
-
B.
hasNotableFamilyMembers
Indicates that an entity is related to one or more family members who are considered notable or significant in some context.
-
C.
hasProtagonistFamilyMember
Indicates that a work’s protagonist has a specified individual as a member of their family.
-
D.
hasFictionalFamilyMember
chosen
Indicates that one entity has another entity as a family member within a fictional or imagined context.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: April 29, 2026, 5:55 p.m.