Triple
T23297631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Mother of Greece |
E590215
|
entity |
| Predicate | lastNotableHolderStartYear |
P138959
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Queen Mother of Greece, lastNotableHolderStartYear, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastNotableHolderStartYear Context triple: [Queen Mother of Greece, lastNotableHolderStartYear, 1964]
-
A.
mostNotableHolder
Indicates that one entity is the most prominent or distinguished bearer or possessor of another entity (such as a title, record, or role) compared to all other holders.
-
B.
earliestKnownHolder
Indicates that the subject is the first known entity in time to have possessed, held, or been assigned the object.
-
C.
notableManagerTenureStart
Indicates the date or point in time when a manager’s particularly significant or distinguished period of managing an entity began.
-
D.
lastSignificantHolder
Indicates that one entity is the most recent entity to have held or possessed another entity in a meaningful or legally recognized way.
-
E.
notableOfficeStartYear
chosen
Indicates the calendar year in which an entity began serving in a particular notable office or position.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d083188190abaae77dd4cf2bae |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:03 p.m.