Triple
T2748608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Yallop |
E60928
|
entity |
| Predicate | endedInternationalCareer |
P41366
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Frank Yallop, endedInternationalCareer, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endedInternationalCareer Context triple: [Frank Yallop, endedInternationalCareer, 1997]
-
A.
internationalCrewMember
Indicates that an individual is a member of a crew composed of people from more than one country.
-
B.
couldServeOverseas
Indicates that an entity has the ability or eligibility to perform service or duties in a foreign or overseas location.
-
C.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
D.
operatesInternationally
Indicates that the entity conducts activities or business across national borders in multiple countries.
-
E.
internationalAffairsRole
Indicates a role or position an entity holds in managing, influencing, or participating in international relations, diplomacy, or global policy matters.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb517a00819084fd8f8933a25212 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:56 p.m.