Triple
T12351437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twice as Tall |
E294497
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Telz
Telz is a Nigerian music producer known for crafting Afro-fusion and Afrobeats sounds for top artists such as Burna Boy.
|
E978550
|
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: Telz | Statement: [Twice as Tall, producer, Telz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telz Context triple: [Twice as Tall, producer, Telz]
-
A.
Teles
Teles is a relatively obscure figure in Greek mythology, known primarily as one of the many children in the royal lineage associated with the hero Perseus.
-
B.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
C.
Telarah
Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
-
D.
Toshley
Toshley is a collectible gnome-themed legendary minion card from Hearthstone’s Goblins vs Gnomes expansion, known for generating Spare Parts spells through its battlecry and deathrattle effects.
-
E.
Telu
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
- 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: Telz Triple: [Twice as Tall, producer, Telz]
Generated description
Telz is a Nigerian music producer known for crafting Afro-fusion and Afrobeats sounds for top artists such as Burna Boy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telz Target entity description: Telz is a Nigerian music producer known for crafting Afro-fusion and Afrobeats sounds for top artists such as Burna Boy.
-
A.
Teles
Teles is a relatively obscure figure in Greek mythology, known primarily as one of the many children in the royal lineage associated with the hero Perseus.
-
B.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
C.
Telarah
Telarah is a residential suburb in the City of Maitland in the Hunter Region of New South Wales, Australia.
-
D.
Toshley
Toshley is a collectible gnome-themed legendary minion card from Hearthstone’s Goblins vs Gnomes expansion, known for generating Spare Parts spells through its battlecry and deathrattle effects.
-
E.
Telu
Telu is the ISO 15924 four-letter code that represents the Telugu script used for writing the Telugu language and several other South Asian languages.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab066108190bba8eca95d3e0a81 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d13237881908b7c2dca173e20cf |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.