Triple
T22980314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road You Didn’t Take |
E571439
|
entity |
| Predicate | characterAgeContext |
P94896
|
FINISHED |
| Object | middle-aged Ben reflecting on his past |
—
|
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: middle-aged Ben reflecting on his past | Statement: [The Road You Didn’t Take, characterAgeContext, middle-aged Ben reflecting on his past]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterAgeContext Context triple: [The Road You Didn’t Take, characterAgeContext, middle-aged Ben reflecting on his past]
-
A.
characterAgeDescriptor
chosen
Indicates how a character’s age is qualitatively described or categorized (e.g., young, middle-aged, elderly) rather than given as a specific number.
-
B.
ageContext
Indicates the temporal or life-stage context in which an entity’s age is specified or interpreted.
-
C.
riftAge
Indicates the age or time since formation of a geological rift or rift-related feature.
-
D.
representedAgeLevel
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
-
E.
ageDuringNarration
Indicates that an entity has a specified age at the time when the described narrative or event is taking place.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18294c4c8819083ef85d9cb736613 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.