Triple
T15246433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Mitteldorf |
E364393
|
entity |
| Predicate | positionOnAging |
P117762
|
FINISHED |
| Object | supports evolutionary theories where aging can be adaptive |
—
|
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: supports evolutionary theories where aging can be adaptive | Statement: [Josh Mitteldorf, positionOnAging, supports evolutionary theories where aging can be adaptive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnAging Context triple: [Josh Mitteldorf, positionOnAging, supports evolutionary theories where aging can be adaptive]
-
A.
typicalAgingIndication
Indicates that something serves as a sign or marker commonly associated with the normal process of aging.
-
B.
turnedSenior
Indicates that an entity has transitioned into senior status or a senior role relative to a previous state or position.
-
C.
ageProgression
Indicates a temporal relationship where an entity’s age increases or advances over time.
-
D.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
-
E.
typicalAgingTime
Indicates the usual duration required for something to age or mature under normal conditions.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.