Triple
T27246650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micheál Martin |
E687362
|
entity |
| Predicate | servedDuringEvent |
P31342
|
FINISHED |
| Object | COVID-19 pandemic |
—
|
NE NERFINISHED |
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: COVID-19 pandemic | Statement: [Micheál Martin, servedDuringEvent, COVID-19 pandemic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedDuringEvent Context triple: [Micheál Martin, servedDuringEvent, COVID-19 pandemic]
-
A.
servedDuring
chosen
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
-
B.
servedBetween
Indicates that an entity provided service or operated during a time interval bounded by two specified temporal points.
-
C.
servesEvent
Indicates that an entity provides, hosts, or facilitates a particular event for others.
-
D.
notableEventServed
Indicates that an entity served in an official or significant capacity during a notable event.
-
E.
servesEventType
Indicates that an entity provides or supports a particular type or category of event.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 10:42 a.m.