Triple
T13600657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born Free |
E324931
|
entity |
| Predicate | isPoliticallyCharged |
P40887
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Born Free, isPoliticallyCharged, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPoliticallyCharged Context triple: [Born Free, isPoliticallyCharged, yes]
-
A.
politicallySensitive
chosen
Indicates that an entity, action, or topic is associated with political issues, controversies, or power structures such that it may require special caution, regulation, or discretion.
-
B.
hasPoliticalComponent
Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
-
C.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
D.
ideologicallyMotivated
Indicates that an action, decision, or relationship is driven primarily by a specific set of beliefs, values, or ideology rather than by neutral or purely practical considerations.
-
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.