Triple
T19010476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Connolly |
E465207
|
entity |
| Predicate | careerEnded |
P88359
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Maureen Connolly, careerEnded, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerEnded Context triple: [Maureen Connolly, careerEnded, 1954]
-
A.
professionalPlayingCareerEnd
chosen
Indicates the point in time when an individual's professional playing career comes to an end.
-
B.
clubCareerEnd
Indicates the point in time or event at which an entity’s involvement in a club-level career comes to an end.
-
C.
careerEndLeague
Indicates the league in which an entity’s professional career officially ended.
-
D.
retiredFromSidelines
Indicates that an entity has ended its role or involvement from a previously inactive, observing, or non-participatory position in a given context.
-
E.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a8225c81908e80ae7eb1c1301b |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.