Triple
T33210927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Zinc |
E850154
|
entity |
| Predicate | joinsFirmType |
P100243
|
FINISHED |
| Object | small plaintiffs’ firm |
—
|
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: small plaintiffs’ firm | Statement: [David Zinc, joinsFirmType, small plaintiffs’ firm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinsFirmType Context triple: [David Zinc, joinsFirmType, small plaintiffs’ firm]
-
A.
belongsToCompanyType
chosen
Indicates that an entity is associated with or classified under a particular type or category of company.
-
B.
hasMemberFirm
Indicates that an organization includes another organization as one of its affiliated or constituent firms.
-
C.
hasPartnershipType
Indicates the specific kind or category of partnership relationship that exists between entities.
-
D.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:30 a.m.