Triple
T37374505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Crabb |
E927936
|
entity |
| Predicate | ageInFrameNarrative |
P25233
|
FINISHED |
| Object | over 100 years old |
—
|
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: over 100 years old | Statement: [Jack Crabb, ageInFrameNarrative, over 100 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInFrameNarrative Context triple: [Jack Crabb, ageInFrameNarrative, over 100 years old]
-
A.
ageDuringNarration
Indicates that an entity has a specified age at the time when the described narrative or event is taking place.
-
B.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
C.
fictionalAgeRange
Indicates the span of ages a fictional character or entity is depicted as having within a narrative or fictional context.
-
D.
fictionalAge
chosen
Indicates the age attributed to an entity within a fictional or narrative context, rather than its real-world age.
-
E.
narrativeFrameWork
Indicates a relationship where one element provides the structural or conceptual framework within which another element’s narrative is organized, interpreted, or presented.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.