Triple
T5048923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humana Building |
E113735
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Humana Inc. |
E92432
|
NE 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: Humana Inc. | Statement: [Humana Building, owner, Humana Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humana Inc. Context triple: [Humana Building, owner, Humana Inc.]
-
A.
Humana
chosen
Humana is a major American health insurance and managed care company known for offering Medicare, Medicaid, and commercial health plans nationwide.
-
B.
UnitedHealth Group
UnitedHealth Group is a leading American diversified health care and insurance company that provides health benefits and services through its UnitedHealthcare and Optum businesses.
-
C.
Aetna
Aetna is a major American health insurance company and managed health care provider known for offering medical, pharmacy, dental, and related benefit plans nationwide.
-
D.
Multicare
Multicare is a Portuguese health insurance brand that operates as a subsidiary of Fidelidade, offering a range of medical and wellness coverage products.
-
E.
Kaiser Permanente
Kaiser Permanente is a major American integrated managed care consortium known for combining health insurance coverage with its own network of hospitals and medical professionals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba5ec4308190aff8b1c4e494e0e2 |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1:37 p.m.