Triple
T19051485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ming |
E466268
|
entity |
| Predicate | positionInYaoMing |
P134895
|
FINISHED |
| Object | given name component |
—
|
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: given name component | Statement: [Ming, positionInYaoMing, given name component]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInYaoMing Context triple: [Ming, positionInYaoMing, given name component]
-
A.
SlamDunkContestWinner
Indicates that the subject is the winner of a slam dunk contest competition.
-
B.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
C.
positionOfNotablePlayer
Indicates the role or playing position that a notable player occupies within a team or sport.
-
D.
maximumScorePerDunk
Indicates the highest number of points that can be awarded for a single dunk action in the given context.
-
E.
positionOfAwardedPlayer
Indicates the specific playing position or role on a team held by the player who received the award.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc031ff881908e8c68c7aaff3733 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4c0fc3c4c8190abbfe06e1bd3325c |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:03 p.m.