Triple
T12453317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Callaghan |
E297587
|
entity |
| Predicate | internationalCareerSpan |
P41365
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [David Callaghan, internationalCareerSpan, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalCareerSpan Context triple: [David Callaghan, internationalCareerSpan, 1990s]
-
A.
endedInternationalCareer
Indicates that an entity has concluded or retired from participating in international-level activities or competitions.
-
B.
countryForInternationalCareer
Indicates the country in which an individual pursued or represented their international-level career (e.g., in sports, arts, or professional domains).
-
C.
startedInternationalCareer
chosen
Indicates that an entity began participating at the international level in a particular field, role, or profession from a specified time.
-
D.
careerWalks
Indicates the total number of bases on balls (walks) a player has received over the course of their entire career.
-
E.
careerTriples
Indicates a relationship that links an individual to key career-related facts, such as their roles, employers, or professional milestones.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.