Triple
T31453495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Twigg |
E802385
|
entity |
| Predicate | isEliteAthleteIn |
P171892
|
FINISHED |
| Object | rowing |
—
|
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: rowing | Statement: [Emma Twigg, isEliteAthleteIn, rowing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEliteAthleteIn Context triple: [Emma Twigg, isEliteAthleteIn, rowing]
-
A.
isAthlete
Indicates that an entity participates in sports or athletic activities, typically at a competitive or professional level.
-
B.
isAthletic
Indicates that an entity possesses physical fitness, strength, agility, or endurance characteristic of athletic ability.
-
C.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
D.
qualifiedForOlympicGames
Indicates that an entity has met the necessary standards or criteria to participate in the Olympic Games.
-
E.
hasAthleticLevel
Indicates the degree or category of athletic ability, fitness, or performance associated with an entity.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 9:15 p.m.