Triple
T15219272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallory Pugh |
E363718
|
entity |
| Predicate | wasTeenagerWhenDebutedForSeniorNationalTeam |
P117570
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mallory Pugh, wasTeenagerWhenDebutedForSeniorNationalTeam, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasTeenagerWhenDebutedForSeniorNationalTeam Context triple: [Mallory Pugh, wasTeenagerWhenDebutedForSeniorNationalTeam, true]
-
A.
debutForNationalTeam
Indicates the event or fact that an entity makes its first official appearance representing a national team in competition.
-
B.
ageAtSeniorInternationalDebut
Indicates the age a person was when they first appeared in a senior-level international event or competition.
-
C.
madeLeagueDebutAge
Indicates the age at which an entity first appeared in an official league match or competition.
-
D.
usedByNationalTeamUntil
Indicates that an entity (such as a player, coach, or staff member) was actively used or employed by a national team up to and including a specified end date.
-
E.
nationalTeamDebutCountry
Indicates the country for which an individual first made an official appearance on a national team.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007709d3881908384f0fe1e0218d0 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:11 a.m.