Triple
T16311091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ieremia Tabai |
E396055
|
entity |
| Predicate | wasYoungestHeadOfState |
P122638
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ieremia Tabai, wasYoungestHeadOfState, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasYoungestHeadOfState Context triple: [Ieremia Tabai, wasYoungestHeadOfState, true]
-
A.
cameToPowerAsMinor
Indicates that an individual assumed ruling authority or leadership while still legally or socially considered a minor.
-
B.
ageAtStartOfReign
Indicates the age an individual was when they began their reign or rule.
-
C.
succeededByAsHeadOfState
Indicates that one individual directly followed another in the role of head of state.
-
D.
firstSupremeLeader
Indicates that the subject is the first person to hold the position or title of supreme leader of the object entity.
-
E.
headOfStateAtPromulgation
Indicates the person who was serving as the head of state at the time a particular law, constitution, or legal act was formally promulgated.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288da27f88190aa241e3addf9cd7f |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.