Triple
T15045073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La La La |
E379201
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Mustafa Omer
Mustafa Omer is a songwriter best known for co-writing the hit single "La La La."
|
E1133800
|
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: Mustafa Omer | Statement: [La La La, writer, Mustafa Omer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mustafa Omer Context triple: [La La La, writer, Mustafa Omer]
-
A.
Yusuf Tazim
Yusuf Tazim is a charismatic Ottoman Assassin leader and mentor to Ezio Auditore in the video game Assassin's Creed: Revelations.
-
B.
Hassan Kadam
Hassan Kadam is a gifted young Indian chef whose culinary talent and personal journey drive the narrative of the film "The Hundred-Foot Journey."
-
C.
Ali Osman Taha
Ali Osman Taha is a Sudanese politician and lawyer who served as First Vice President of Sudan and played a key role in negotiating the Comprehensive Peace Agreement that ended the Second Sudanese Civil War.
-
D.
Ibrahim Hyderi
Ibrahim Hyderi is a coastal fishing village and neighborhood in Karachi, Pakistan, known for its large fishing community and seafood markets.
-
E.
Rauf Ilwan
Rauf Ilwan is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known as a former mentor who betrays the protagonist, Said Mahran.
- 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: Mustafa Omer Triple: [La La La, writer, Mustafa Omer]
Generated description
Mustafa Omer is a songwriter best known for co-writing the hit single "La La La."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mustafa Omer Target entity description: Mustafa Omer is a songwriter best known for co-writing the hit single "La La La."
-
A.
Yusuf Tazim
Yusuf Tazim is a charismatic Ottoman Assassin leader and mentor to Ezio Auditore in the video game Assassin's Creed: Revelations.
-
B.
Hassan Kadam
Hassan Kadam is a gifted young Indian chef whose culinary talent and personal journey drive the narrative of the film "The Hundred-Foot Journey."
-
C.
Ali Osman Taha
Ali Osman Taha is a Sudanese politician and lawyer who served as First Vice President of Sudan and played a key role in negotiating the Comprehensive Peace Agreement that ended the Second Sudanese Civil War.
-
D.
Ibrahim Hyderi
Ibrahim Hyderi is a coastal fishing village and neighborhood in Karachi, Pakistan, known for its large fishing community and seafood markets.
-
E.
Rauf Ilwan
Rauf Ilwan is a character in Naguib Mahfouz’s novel "The Thief and the Dogs," known as a former mentor who betrays the protagonist, Said Mahran.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea0791f1c81908dcad401fa3ac245 |
completed | May 9, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea11a35a88190a5ad6f261fd2d9dc |
completed | May 9, 2026, 2:51 a.m. |
Created at: April 10, 2026, 3 a.m.