Triple
T15134184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telefone |
E361509
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object |
Xavier Omär
Xavier Omär is an American R&B singer-songwriter known for his soulful vocals, introspective lyrics, and collaborations within the contemporary alternative R&B scene.
|
E1137935
|
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: Xavier Omär | Statement: [Telefone, hasGuestAppearance, Xavier Omär]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Omär Context triple: [Telefone, hasGuestAppearance, Xavier Omär]
-
A.
Fatmir Limaj
Fatmir Limaj is a Kosovar politician and former Kosovo Liberation Army commander who later served in senior government positions in Kosovo.
-
B.
Mustafa Omer
Mustafa Omer is a songwriter best known for co-writing the hit single "La La La."
-
C.
Omar Alfanno
Omar Alfanno is a Panamanian songwriter and composer renowned for crafting numerous Latin music hits across salsa and pop genres.
-
D.
Fisnik Ismaili
Fisnik Ismaili is a Kosovar designer and political activist best known for creating the iconic "Newborn" independence monument in Pristina.
-
E.
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."
- 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: Xavier Omär Triple: [Telefone, hasGuestAppearance, Xavier Omär]
Generated description
Xavier Omär is an American R&B singer-songwriter known for his soulful vocals, introspective lyrics, and collaborations within the contemporary alternative R&B scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xavier Omär Target entity description: Xavier Omär is an American R&B singer-songwriter known for his soulful vocals, introspective lyrics, and collaborations within the contemporary alternative R&B scene.
-
A.
Fatmir Limaj
Fatmir Limaj is a Kosovar politician and former Kosovo Liberation Army commander who later served in senior government positions in Kosovo.
-
B.
Mustafa Omer
Mustafa Omer is a songwriter best known for co-writing the hit single "La La La."
-
C.
Omar Alfanno
Omar Alfanno is a Panamanian songwriter and composer renowned for crafting numerous Latin music hits across salsa and pop genres.
-
D.
Fisnik Ismaili
Fisnik Ismaili is a Kosovar designer and political activist best known for creating the iconic "Newborn" independence monument in Pristina.
-
E.
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."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fd3c448190b4b06fdc1ab2c6a7 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.