Triple
T28904175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outer Party |
E733029
|
entity |
| Predicate | swearsLoyaltyTo |
P1201
|
FINISHED |
| Object | Big Brother |
—
|
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: Big Brother | Statement: [Outer Party, swearsLoyaltyTo, Big Brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swearsLoyaltyTo Context triple: [Outer Party, swearsLoyaltyTo, Big Brother]
-
A.
swornInOn
Indicates that an individual formally assumes an office, role, or duty by taking an official oath on a specified date, occasion, or object.
-
B.
allegiance
chosen
Indicates a relationship where one entity is loyal, committed, or obligated in support or service to another entity.
-
C.
hasOathTo
Indicates a relationship in which one entity is bound by an oath or sworn commitment to another entity.
-
D.
sworeInAs
Indicates that one entity formally administered or participated in the official oath-taking that installed another entity into an office, role, or position.
-
E.
administersOathTo
Indicates that one entity formally gives or conducts an oath that another entity takes.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ad948748190abe57197575a19dc |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:05 a.m.