Triple
T18806704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theranos |
E459893
|
entity |
| Predicate | unicornStatus |
P133496
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Theranos, unicornStatus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unicornStatus Context triple: [Theranos, unicornStatus, yes]
-
A.
mascotStatus
Indicates the role or designation of an entity as a mascot, such as whether and how it serves as a symbolic representative.
-
B.
deerStatus
Indicates the current condition or state associated with a deer in the context of the relationship or process being modeled.
-
C.
universeStatus
Indicates the current overall state or condition of a universe within a given system or context.
-
D.
NorbulingkaStatus
Indicates the current condition, designation, or preservation state associated with Norbulingka.
-
E.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d7f8d08190a3e02fab6dc40bb5 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:53 a.m.