Triple
T10218328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom McHale (American football) |
E242504
|
entity |
| Predicate | diagnosedPosthumouslyWith |
P63823
|
FINISHED |
| Object | chronic traumatic encephalopathy |
—
|
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: chronic traumatic encephalopathy | Statement: [Tom McHale (American football), diagnosedPosthumouslyWith, chronic traumatic encephalopathy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diagnosedPosthumouslyWith Context triple: [Tom McHale (American football), diagnosedPosthumouslyWith, chronic traumatic encephalopathy]
-
A.
posthumousDiagnosis
chosen
Indicates that a diagnosis was made for an individual only after their death.
-
B.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
-
C.
namedAfterCauseOfDeath
Indicates that an entity is named after the cause of death of a person or organism.
-
D.
discoveredAsDeadBy
Indicates that one entity was found to be dead by another entity, who discovered their deceased state.
-
E.
notedPosthumouslyBy
Indicates that information about an entity was recorded, mentioned, or recognized by someone only after that entity’s death.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6fcf6c81908a589585bbd48ab8 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:07 a.m.