Triple
T24284685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allyson Felix |
E605637
|
entity |
| Predicate | medalRecordHighlight |
P7487
|
FINISHED |
| Object | gold medal in 200 m at 2012 London Olympics |
—
|
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: gold medal in 200 m at 2012 London Olympics | Statement: [Allyson Felix, medalRecordHighlight, gold medal in 200 m at 2012 London Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalRecordHighlight Context triple: [Allyson Felix, medalRecordHighlight, gold medal in 200 m at 2012 London Olympics]
-
A.
notableMedalSport
Indicates that the sport specified is the one in which the entity received a notable medal or award.
-
B.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
C.
OlympicMedal
chosen
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
D.
medalSignificance
Indicates the importance, value, or level of distinction that a particular medal represents in a given context.
-
E.
medalTableLeader
Indicates that an entity is currently leading the medal table, typically having the highest overall medal standing compared to others.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f54c5948190a28207d47d6205e4 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.