Triple
T7310612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusli Wadia |
E168080
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nusli
Nusli is an Indian industrialist best known as the chairman of the Wadia Group conglomerate.
|
E656095
|
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: Nusli | Statement: [Nusli Wadia, givenName, Nusli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nusli Context triple: [Nusli Wadia, givenName, Nusli]
-
A.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
B.
Indir Thakrun
Indir Thakrun is an elderly, impoverished relative whose poignant presence and suffering embody the themes of hardship and dignity in the Bengali novel and film "Pather Panchali."
-
C.
Husniya
Husniya is a character in Naguib Mahfouz’s novel "Zuqāq al-Midaqq" ("Midaq Alley"), representing the lives and struggles of residents in a crowded Cairo alley during the 1940s.
-
D.
Rana Hussein
Rana Hussein is one of the daughters of former Iraqi president Saddam Hussein and his first wife, Sajida Talfah.
-
E.
Nayib
Nayib is the given name of Nayib Bukele, the President of El Salvador known for his controversial, tech-focused and hardline governance style.
- 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: Nusli Triple: [Nusli Wadia, givenName, Nusli]
Generated description
Nusli is an Indian industrialist best known as the chairman of the Wadia Group conglomerate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nusli Target entity description: Nusli is an Indian industrialist best known as the chairman of the Wadia Group conglomerate.
-
A.
Nuzha
Nuzha is a residential district in Kuwait City known for its quiet neighborhoods and local amenities.
-
B.
Indir Thakrun
Indir Thakrun is an elderly, impoverished relative whose poignant presence and suffering embody the themes of hardship and dignity in the Bengali novel and film "Pather Panchali."
-
C.
Husniya
Husniya is a character in Naguib Mahfouz’s novel "Zuqāq al-Midaqq" ("Midaq Alley"), representing the lives and struggles of residents in a crowded Cairo alley during the 1940s.
-
D.
Rana Hussein
Rana Hussein is one of the daughters of former Iraqi president Saddam Hussein and his first wife, Sajida Talfah.
-
E.
Nayib
Nayib is the given name of Nayib Bukele, the President of El Salvador known for his controversial, tech-focused and hardline governance style.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebff866081909916796d1b72aee8 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e56b4178819087341903a168440b |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e69b51d88190a25fbcec7993654f |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e76f3cd88190957e096c81e6e803 |
completed | March 28, 2026, 2:36 p.m. |
Created at: March 27, 2026, 3:02 p.m.