Triple
T396731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlize Theron |
E8998
|
entity |
| Predicate | activism |
P33
|
FINISHED |
| Object | women's rights advocacy |
—
|
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: women's rights advocacy | Statement: [Charlize Theron, activism, women's rights advocacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activism Context triple: [Charlize Theron, activism, women's rights advocacy]
-
A.
advocates
chosen
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
B.
nationalMovement
Indicates a relationship where a group or entity is engaged in or associated with a collective political or social movement aimed at advancing the interests, identity, or independence of a nation.
-
C.
politicalGoal
Indicates a relationship where an entity aims to achieve, promote, or realize a specific political outcome, policy, or state of affairs.
-
D.
ideologicalGoal
Indicates that an entity aims to promote, realize, or advance a particular ideology or set of ideological principles.
-
E.
politicalRepercussion
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec8a941081909a152fda0ce24a98 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.