Triple
T7660558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerrilla |
E173491
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
S I Tutul
S I Tutul is a Bangladeshi singer and music composer known for his work on film soundtracks and patriotic songs.
|
E679475
|
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: S I Tutul | Statement: [Guerrilla, musicBy, S I Tutul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S I Tutul Context triple: [Guerrilla, musicBy, S I Tutul]
-
A.
Tachenwit
Tachenwit is an alternative name for the Chenoua language, a Berber language spoken in northern Algeria.
-
B.
Tutin
Tutin is a small town and municipality in southwestern Serbia’s Sandžak region, known for its predominantly Bosniak population and mountainous surroundings.
-
C.
Sakchye Tapsuwan
Sakchye Tapsuwan is a Thai sports administrator best known for leading the International Federation of Muaythai Associations (IFMA), the global governing body for the sport of Muay Thai.
-
D.
Chàhn
Chàhn is the Yale romanization of the common Cantonese surname 陳, often rendered as "Chan" in English.
-
E.
Beni Isguen
Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
- 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: S I Tutul Triple: [Guerrilla, musicBy, S I Tutul]
Generated description
S I Tutul is a Bangladeshi singer and music composer known for his work on film soundtracks and patriotic songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S I Tutul Target entity description: S I Tutul is a Bangladeshi singer and music composer known for his work on film soundtracks and patriotic songs.
-
A.
Tachenwit
Tachenwit is an alternative name for the Chenoua language, a Berber language spoken in northern Algeria.
-
B.
Tutin
Tutin is a small town and municipality in southwestern Serbia’s Sandžak region, known for its predominantly Bosniak population and mountainous surroundings.
-
C.
Sakchye Tapsuwan
Sakchye Tapsuwan is a Thai sports administrator best known for leading the International Federation of Muaythai Associations (IFMA), the global governing body for the sport of Muay Thai.
-
D.
Chàhn
Chàhn is the Yale romanization of the common Cantonese surname 陳, often rendered as "Chan" in English.
-
E.
Beni Isguen
Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89becbf148190b1f065f4016a6d03 |
completed | March 29, 2026, 3:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89cc3a3788190bd91aa0995b96c26 |
completed | March 29, 2026, 3:30 a.m. |
Created at: March 27, 2026, 3:59 p.m.