Triple
T32245499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W.D. Jones |
E823734
|
entity |
| Predicate | ageAtJoiningBarrowGang |
P173879
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [W.D. Jones, ageAtJoiningBarrowGang, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtJoiningBarrowGang Context triple: [W.D. Jones, ageAtJoiningBarrowGang, 16]
-
A.
riftAge
Indicates the age or time since formation of a geological rift or rift-related feature.
-
B.
ageAtTimeOfConvictionInStory
Indicates the age a person was at the specific time they were convicted within the context or timeline of the story.
-
C.
calledToTheBarAt
Indicates that a person has been formally admitted and authorized to practice as a barrister by a specific legal institution or jurisdiction at a certain time.
-
D.
ageAtAscension
Indicates the age an individual was when they ascended to a particular position, status, or role.
-
E.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc33ab4c8190ab3bdaa735ceddb6 |
completed | May 3, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:40 a.m.