Triple
T13713177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmonize |
E328824
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Nandy
Nandy is a Tanzanian singer and songwriter known for her Bongo Flava hits and collaborations with prominent East African artists.
|
E1058066
|
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: Nandy | Statement: [Harmonize, associatedAct, Nandy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandy Context triple: [Harmonize, associatedAct, Nandy]
-
A.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
B.
Aruna
Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
-
C.
Sundini
Sundini is a narrow sound in the Faroe Islands that separates the islands of Eysturoy and Streymoy.
-
D.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
E.
Nanjiani
Nanjiani is the surname of Kumail Nanjiani, a Pakistani-American comedian, actor, and writer known for his work in stand-up, film, and television.
- 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: Nandy Triple: [Harmonize, associatedAct, Nandy]
Generated description
Nandy is a Tanzanian singer and songwriter known for her Bongo Flava hits and collaborations with prominent East African artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nandy Target entity description: Nandy is a Tanzanian singer and songwriter known for her Bongo Flava hits and collaborations with prominent East African artists.
-
A.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
B.
Aruna
Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
-
C.
Sundini
Sundini is a narrow sound in the Faroe Islands that separates the islands of Eysturoy and Streymoy.
-
D.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
E.
Nanjiani
Nanjiani is the surname of Kumail Nanjiani, a Pakistani-American comedian, actor, and writer known for his work in stand-up, film, and television.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d56a90081908158dcf4ee061fb6 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f7a15f3c908190be380355972def6e |
completed | May 3, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2234390819093814fd435f9c42c |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 9, 2026, 9:54 p.m.