Triple
T19159916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Noble |
E469024
|
entity |
| Predicate | clubNumberAtWestHam |
P134669
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Mark Noble, clubNumberAtWestHam, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberAtWestHam Context triple: [Mark Noble, clubNumberAtWestHam, 16]
-
A.
clubNumberAtManchesterUnited
Indicates the squad number a player wears or wore while playing for Manchester United.
-
B.
currentClubNumber
Indicates the jersey or squad number currently assigned to a person at their present club or team.
-
C.
ChelseaManager
Indicates that a person holds or has held the position of manager (head coach) of Chelsea Football Club.
-
D.
clubNumberAtBarcelona
Indicates the specific jersey number a player wore while playing for FC Barcelona.
-
E.
footballMembership
Indicates that an entity belongs to, is part of, or holds membership in a football-related organization, team, or group.
- 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.