Triple
T25060216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Lingk |
E627634
|
entity |
| Predicate | relationshipTypeWithRickyRoma |
P174319
|
FINISHED |
| Object | client of Ricky Roma |
—
|
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: client of Ricky Roma | Statement: [James Lingk, relationshipTypeWithRickyRoma, client of Ricky Roma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithRickyRoma Context triple: [James Lingk, relationshipTypeWithRickyRoma, client of Ricky Roma]
-
A.
relationshipToJohnnyRico
Indicates the specific type of personal or social relationship that an entity has with Johnny Rico.
-
B.
relationshipToCarmen
Indicates the specific type of personal or social relationship an entity has with Carmen.
-
C.
relationshipTypeWithLuciousLyon
Indicates the specific nature or category of relationship that an entity has with Lucious Lyon.
-
D.
relationshipTypeWithRandy "The Ram" Robinson
Indicates the specific nature or category of relationship that an entity has with Randy "The Ram" Robinson.
-
E.
relationshipTypeWith Aureliano Segundo
Indicates the specific nature or category of relational connection that an entity has with Aureliano Segundo.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 18, 2026, 6:09 a.m.