Triple
T36532484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Gale |
E900481
|
entity |
| Predicate | numberOfABAAllDefensiveSelections |
P203491
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Mike Gale, numberOfABAAllDefensiveSelections, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfABAAllDefensiveSelections Context triple: [Mike Gale, numberOfABAAllDefensiveSelections, 5]
-
A.
numberOfABAAllStarSelections
chosen
Indicates the number of times an entity has been selected as an ABA All-Star.
-
B.
aflAllStarSelectionCount
Indicates the number of times an entity has been selected as an AFL (Australian Football League) All-Star.
-
C.
numberOfDefensivePlayerOfTheYearAwards
Indicates the count of times an entity has received the Defensive Player of the Year award.
-
D.
AllDefensiveSelection
Indicates that an entity has been chosen for inclusion on an all-defensive team or recognized for outstanding defensive performance within a competitive context.
-
E.
defensiveRecord
Indicates a relationship where one entity documents, tracks, or summarizes the defensive performance or actions of another entity (such as a player, team, or system).
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.