Triple
T15377759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joel Miller (TV series character) |
E367712
|
entity |
| Predicate | ageAtOutbreak |
P118523
|
FINISHED |
| Object | mid-30s (approximate) |
—
|
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: mid-30s (approximate) | Statement: [Joel Miller (TV series character), ageAtOutbreak, mid-30s (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtOutbreak Context triple: [Joel Miller (TV series character), ageAtOutbreak, mid-30s (approximate)]
-
A.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
B.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
C.
ageAtDisappearance
Indicates the age an individual was when they disappeared.
-
D.
approximateAgeAtDeath
Indicates the estimated age a person or entity was when they died, typically used when the exact age is unknown.
-
E.
ageWhenDiscovered
Indicates the age of an entity at the time it was first discovered.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5ece1081908d7c1289258b9c1f |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:18 a.m.