Triple
T20975689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Häßler |
E516618
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | AS Roma |
—
|
NE NERFINISHED |
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: AS Roma | Statement: [Thomas Häßler, playedFor, AS Roma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AS Roma Context triple: [Thomas Häßler, playedFor, AS Roma]
-
A.
A.S. Roma
chosen
A.S. Roma is a professional Italian football club based in Rome that competes in Serie A and is known for its passionate fanbase and historic rivalries.
-
B.
LAZIO
LAZIO is a central Italian region that includes Rome and is known for its historical, cultural, and political significance.
-
C.
S.S. Lazio
S.S. Lazio is a professional Italian football club based in Rome that competes in Serie A and is known for its passionate fan base and historic rivalry with AS Roma.
-
D.
S.S.C. Napoli
S.S.C. Napoli is a professional Italian football club based in Naples, known for its passionate fanbase and successes in Serie A and European competitions.
-
E.
Fiorentina
Fiorentina is a prominent professional football club based in Florence, Italy, known for its rich history, passionate fanbase, and distinctive purple kits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba3df2081908c1db5f8610ba43d |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:46 p.m.