Triple
T30986142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sébastien Haller |
E789529
|
entity |
| Predicate | clubNumberAtBorussiaDortmund |
P170881
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Sébastien Haller, clubNumberAtBorussiaDortmund, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberAtBorussiaDortmund Context triple: [Sébastien Haller, clubNumberAtBorussiaDortmund, 9]
-
A.
clubNumberAtBayernMunich
Indicates the jersey number a player wears or wore while playing for Bayern Munich.
-
B.
clubNumberAt1FFCFrankfurt
Indicates the jersey number a player wears or wore while playing for 1. FFC Frankfurt.
-
C.
clubNumberAtManchesterUnited
Indicates the squad number a player wears or wore while playing for Manchester United.
-
D.
clubNumberAtManchesterCity
Indicates the specific squad number a player wears or wore while registered at Manchester City Football Club.
-
E.
clubNumberAtWestHam
Indicates the squad number a person wears or wore while playing for West Ham United Football Club.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:56 p.m.