Triple
T7691489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael D. Higgins |
E174255
|
entity |
| Predicate | termAsMinisterStart |
P78743
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Michael D. Higgins, termAsMinisterStart, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsMinisterStart Context triple: [Michael D. Higgins, termAsMinisterStart, 1993]
-
A.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
B.
communicationsMinisterTermStart
Indicates the date on which an individual begins serving in the role of communications minister.
-
C.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
D.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
E.
termStart (as Minister of Finance)
Indicates the date or point in time when an individual began serving in the role of Minister of Finance.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c706d0c1708190a3e74523997814b8 |
completed | March 27, 2026, 10:38 p.m. |
Created at: March 27, 2026, 4:02 p.m.