Triple
T11815736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Lockett |
E280994
|
entity |
| Predicate | ColemanMedalCount |
P101454
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Tony Lockett, ColemanMedalCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ColemanMedalCount Context triple: [Tony Lockett, ColemanMedalCount, 4]
-
A.
WorldChampionshipMedalsTotal
Indicates the total number of medals an entity has won at world championship competitions.
-
B.
USMedalsTotal
Indicates the total number of medals won by the United States in a given competition or event.
-
C.
numberOfAustralianChampionships
Indicates the count of Australian Championships that an entity has won or holds.
-
D.
recordHolderAwardsCount
Indicates the number of awards held by the entity that currently holds a particular record.
-
E.
mostTotalMedalsBy
Indicates that one entity holds the highest total number of medals in comparison to another entity or group.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a6574b7081908f7451d2bb233967 |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:42 p.m.