Triple
T5221774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Giovinco |
E117885
|
entity |
| Predicate | seniorClub |
P28388
|
FINISHED |
| Object | Al-Hilal |
E40522
|
NE 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: Al-Hilal | Statement: [Sebastian Giovinco, seniorClub, Al-Hilal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Hilal Context triple: [Sebastian Giovinco, seniorClub, Al-Hilal]
-
A.
Al Hilal SFC
chosen
Al Hilal SFC is a professional Saudi Arabian football club based in Riyadh and one of Asia’s most successful and popular teams.
-
B.
Al-Nasr
Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
-
C.
An-Nasr
An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
-
D.
Al-Ahli
Al-Ahli is a Qatari professional football club based in Doha and one of the country’s oldest and most historic teams.
-
E.
Al Nasr SC
Al Nasr SC is one of the oldest and most successful professional football clubs in the United Arab Emirates, based in Dubai and competing in the UAE Pro League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7aba05b48190b6a7fc52ab3532f0 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeff49d708190a042dfab473a9646 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.