Triple
T16320355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humana Inc. |
E396274
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | HUM |
E396274
|
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: HUM | Statement: [Humana Inc., tickerSymbol, HUM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HUM Context triple: [Humana Inc., tickerSymbol, HUM]
-
A.
HUM
chosen
HUM is the stock ticker symbol for Humana Inc., a major American health insurance and managed care company.
-
B.
Humes
Humes is the surname of American jazz and blues singer Helen Humes, known for her work with Count Basie and her versatile vocal style.
-
C.
Humann
Humann is a German surname most notably associated with archaeologist Carl Humann, who led the excavation of the Pergamon Altar.
-
D.
HM
HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
-
E.
HM
HM is the official abbreviation for Estonia’s Ministry of Education and Research, the government body responsible for national education and research policy.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b5f0f081909a5379deaf0df5d5 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260904748190ae1eb5713a6daa68 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.