Triple
T32464615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Fleming |
E829665
|
entity |
| Predicate | hasPerformedInCountry |
P55120
|
FINISHED |
| Object | Ireland |
—
|
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: Ireland | Statement: [Tommy Fleming, hasPerformedInCountry, Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformedInCountry Context triple: [Tommy Fleming, hasPerformedInCountry, Ireland]
-
A.
hasPlayedInCountry
Indicates that an entity (typically a person or team) has participated in a game, match, or performance within a specified country.
-
B.
hasManagedInCountry
Indicates that an entity has held a managerial or leadership role within a specified country.
-
C.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
D.
hasPerformedLiveIn
chosen
Indicates that an entity has given a live performance in a specified location or venue.
-
E.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 1, 2026, 12:57 a.m.