Triple
T31129503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Shea |
E793458
|
entity |
| Predicate | hasRelativeWhoWasOlympian |
P202979
|
FINISHED |
| Object | Jack Shea |
—
|
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: Jack Shea | Statement: [Jim Shea, hasRelativeWhoWasOlympian, Jack Shea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeWhoWasOlympian Context triple: [Jim Shea, hasRelativeWhoWasOlympian, Jack Shea]
-
A.
hasOlympians
Indicates that an entity includes, is associated with, or contains one or more Olympian participants or members.
-
B.
representedAtOlympics
Indicates that an entity served as an official representative (e.g., athlete, team, or delegation) for another entity at a specific edition of the Olympic Games.
-
C.
relationToOlympicGames
Indicates a relationship between an entity and the Olympic Games, such as participation, hosting, or other forms of association.
-
D.
isOlympicMedalistIn
Indicates that an individual has won at least one Olympic medal in a specified sport or event.
-
E.
historicalPredecessorHasOlympicGoldMedals
Indicates that the earlier historical counterpart of an entity has won one or more Olympic gold medals.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00d820a7788190a8d54625cd87be68 |
completed | May 10, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_6a00d7c5b40c8190b80413238d04e81e |
completed | May 10, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_6a00d81fb5d8819096fa5e0771d69221 |
completed | May 10, 2026, 7:10 p.m. |
Created at: April 29, 2026, 9:05 p.m.