Triple
T6919899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sufiya Zinobia |
E160155
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hyder
Hyder is a surname of South Asian origin commonly found among Muslim families, including that of the fictional character Sufiya Zinobia.
|
E629994
|
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: Hyder | Statement: [Sufiya Zinobia, familyName, Hyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyder Context triple: [Sufiya Zinobia, familyName, Hyder]
-
A.
Sachal
Sachal is the honorific name of Sachal Sarmast, an 18th–19th century Sindhi Sufi poet and mystic renowned for his multilingual poetry and message of spiritual unity.
-
B.
Hadda
Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
-
C.
Miranshah
Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
-
D.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
E.
Rushan
Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
- 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: Hyder Triple: [Sufiya Zinobia, familyName, Hyder]
Generated description
Hyder is a surname of South Asian origin commonly found among Muslim families, including that of the fictional character Sufiya Zinobia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hyder Target entity description: Hyder is a surname of South Asian origin commonly found among Muslim families, including that of the fictional character Sufiya Zinobia.
-
A.
Sachal
Sachal is the honorific name of Sachal Sarmast, an 18th–19th century Sindhi Sufi poet and mystic renowned for his multilingual poetry and message of spiritual unity.
-
B.
Hadda
Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
-
C.
Miranshah
Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
-
D.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
E.
Saddar
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9f8fc888190949d5779ccbe91e6 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c751345edc8190ab0f34120a42571e |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c751abed548190ac2152acd3029d2d |
completed | March 28, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7558dd72081909af14d319ce01ff6 |
completed | March 28, 2026, 4:14 a.m. |
Created at: March 27, 2026, 2:26 p.m.