Triple
T7594188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little St. James |
E179813
|
entity |
| Predicate | postEpsteinStatus |
P78046
|
FINISHED |
| Object | subject to asset liquidation proceedings |
—
|
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: subject to asset liquidation proceedings | Statement: [Little St. James, postEpsteinStatus, subject to asset liquidation proceedings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postEpsteinStatus Context triple: [Little St. James, postEpsteinStatus, subject to asset liquidation proceedings]
-
A.
postConstitutionStatus
Indicates the legal or political status of an entity after the adoption or coming into force of a constitution.
-
B.
postLeipzigStatus
Indicates the status or condition of something after the Leipzig-related event or process has occurred.
-
C.
post1932Status
Indicates the status or condition of an entity specifically during the period after the year 1932.
-
D.
postAcquisitionStatus
Indicates the condition or state of an entity after it has been acquired by another party.
-
E.
postMeijiStatus
Indicates the social, legal, or institutional status an entity holds in the period after the Meiji era.
- F. None of above. chosen
Provenance (4 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bab3a08190a2c36b2c72a1de25 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:53 p.m.