Triple
T19159594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Frederick Chelsea Moore |
E469015
|
entity |
| Predicate | captaincyAppearancesForEngland |
P134668
|
FINISHED |
| Object | 90 |
—
|
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: 90 | Statement: [Robert Frederick Chelsea Moore, captaincyAppearancesForEngland, 90]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: captaincyAppearancesForEngland Context triple: [Robert Frederick Chelsea Moore, captaincyAppearancesForEngland, 90]
-
A.
numberOfEnglandCaps
Indicates the number of times an entity has represented England in official international appearances (caps).
-
B.
producedEnglandCaptains
Indicates that a given entity has produced or given rise to individuals who have captained the England national team.
-
C.
premiershipCaptainOf
Indicates that a person served as the captain of a team during a premiership-winning season or championship.
-
D.
numberOfEnglandGoals
Indicates the number of goals scored by the England team in a given match or context.
-
E.
numberOfRugbyWorldCupsWonAsCaptain
Indicates the number of Rugby World Cup tournaments that an entity has won while serving as team captain.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebc52dc819085666dbbeea365a6 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.