Triple
T9686692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doe |
E234426
|
entity |
| Predicate | hasAnonymityReason |
P24667
|
FINISHED |
| Object | privacy and protection in litigation |
—
|
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: privacy and protection in litigation | Statement: [Doe, hasAnonymityReason, privacy and protection in litigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnonymityReason Context triple: [Doe, hasAnonymityReason, privacy and protection in litigation]
-
A.
hasAutonomyReason
Indicates that an entity has a specific reason or justification for its autonomy or independent decision-making.
-
B.
protectionReason
chosen
Indicates the justification or cause for which protection is provided or required in the relationship between entities.
-
C.
hasUncertaintyReason
Indicates that there is a specific reason or explanation for why something is uncertain or not known with confidence.
-
D.
hasNotablePublicityReason
Indicates that an entity is associated with a specific reason or event that has led to notable public attention or publicity.
-
E.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd2dab481908e0d3fed28de9d40 |
completed | April 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.