Triple
T32460985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael David Quattlebaum Jr. |
E829569
|
entity |
| Predicate | publiclyDisclosedHealthStatus |
P75502
|
FINISHED |
| Object | HIV positive |
—
|
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: HIV positive | Statement: [Michael David Quattlebaum Jr., publiclyDisclosedHealthStatus, HIV positive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publiclyDisclosedHealthStatus Context triple: [Michael David Quattlebaum Jr., publiclyDisclosedHealthStatus, HIV positive]
-
A.
healthStatusAtAccession
Indicates the condition or state of health an entity has at the time it is formally recorded, admitted, or added to a system or collection.
-
B.
dateOfHIVStatusPublicDisclosure
chosen
Indicates the date on which an individual's HIV status was first publicly disclosed or made known to others.
-
C.
publiclyDisplayed
Indicates that something is shown or made visible in a public context or setting, accessible to people at large.
-
D.
hasHealthCode
Indicates that an entity is associated with a specific health-related classification or status code.
-
E.
hasHealthConcern
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec4cffed08190b5e5e7cc0c87493e |
completed | May 9, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_69fec2ea7fe08190bd751b39515f69d1 |
completed | May 9, 2026, 5:15 a.m. |
Created at: May 1, 2026, 12:57 a.m.