Triple
T8151516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Laudrup |
E190343
|
entity |
| Predicate | coachOfSportsTeam |
P2169
|
FINISHED |
| Object |
Lekhwya SC
Lekhwya SC is a professional football club based in Qatar that has competed at the top level of Qatari football and attracted high-profile managers such as Michael Laudrup.
|
E717503
|
NE FINISHED |
How this triple was built (4 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: Lekhwya SC | Statement: [Michael Laudrup, coachOfSportsTeam, Lekhwya SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lekhwya SC Context triple: [Michael Laudrup, coachOfSportsTeam, Lekhwya SC]
-
A.
Sepahan SC
Sepahan SC is a prominent Iranian professional football club based in Isfahan, known for its multiple national league titles and strong presence in Asian competitions.
-
B.
Abha FC
Abha FC is a professional football club based in Abha, Saudi Arabia, that competes in the Saudi Pro League.
-
C.
Al Tai FC
Al Tai FC is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
-
D.
Al Fayha FC
Al Fayha FC is a professional football club from Al Majma'ah, Saudi Arabia, that competes in the country’s top-tier Saudi Pro League.
-
E.
Mohammedan SC
Mohammedan SC is a historic Kolkata-based Indian football club known for its passionate fanbase and longstanding presence in domestic competitions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lekhwya SC Triple: [Michael Laudrup, coachOfSportsTeam, Lekhwya SC]
Generated description
Lekhwya SC is a professional football club based in Qatar that has competed at the top level of Qatari football and attracted high-profile managers such as Michael Laudrup.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lekhwya SC Target entity description: Lekhwya SC is a professional football club based in Qatar that has competed at the top level of Qatari football and attracted high-profile managers such as Michael Laudrup.
-
A.
Sepahan SC
Sepahan SC is a prominent Iranian professional football club based in Isfahan, known for its multiple national league titles and strong presence in Asian competitions.
-
B.
Abha FC
Abha FC is a professional football club based in Abha, Saudi Arabia, that competes in the Saudi Pro League.
-
C.
Al Tai FC
Al Tai FC is a professional football club from Saudi Arabia that competes in the country’s top-tier league system.
-
D.
Al Fayha FC
Al Fayha FC is a professional football club from Al Majma'ah, Saudi Arabia, that competes in the country’s top-tier Saudi Pro League.
-
E.
Mohammedan SC
Mohammedan SC is a historic Kolkata-based Indian football club known for its passionate fanbase and longstanding presence in domestic competitions.
- F. None of above. chosen
Provenance (5 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4483799c81908e73f9a87ed99185 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbeef189081909f45b8d2aea74225 |
completed | April 1, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69ccc310b514819099228a1cc66517c5 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd8041c00819094094701ace21aa0 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:37 p.m.