Triple
T16037866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boualem Sansal |
E389013
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Harraga
Harraga is a novel by Algerian writer Boualem Sansal that explores themes of exile, migration, and female autonomy in contemporary Algerian society.
|
E1190986
|
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: Harraga | Statement: [Boualem Sansal, notableWork, Harraga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harraga Context triple: [Boualem Sansal, notableWork, Harraga]
-
A.
Hiejinja
Hiejinja is a Shinto shrine in Tokyo known for its historic significance, annual Sanno Matsuri festival, and distinctive red torii gates.
-
B.
Ragiwara
Ragiwara is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
-
C.
Hambukushu
The Hambukushu are a Bantu-speaking ethnic group of the Okavango region in Botswana and neighboring countries, known for riverine farming, fishing, and rich oral traditions.
-
D.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
-
E.
Haghi
Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
- 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: Harraga Triple: [Boualem Sansal, notableWork, Harraga]
Generated description
Harraga is a novel by Algerian writer Boualem Sansal that explores themes of exile, migration, and female autonomy in contemporary Algerian society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harraga Target entity description: Harraga is a novel by Algerian writer Boualem Sansal that explores themes of exile, migration, and female autonomy in contemporary Algerian society.
-
A.
Hiejinja
Hiejinja is a Shinto shrine in Tokyo known for its historic significance, annual Sanno Matsuri festival, and distinctive red torii gates.
-
B.
Ragiwara
Ragiwara is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
-
C.
Hambukushu
The Hambukushu are a Bantu-speaking ethnic group of the Okavango region in Botswana and neighboring countries, known for riverine farming, fishing, and rich oral traditions.
-
D.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
-
E.
Haghi
Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833da68881908710fb2c28e8c6d0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdd527cfc8190a616a2334edffd02 |
completed | May 10, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdda1a0908190b7c880c5d66f7400 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:56 a.m.