Triple
T20954481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petals of Blood |
E516063
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Abdulla
Abdulla is a character in Ngũgĩ wa Thiong'o's novel "Petals of Blood," representing the struggles and transformations of ordinary Kenyans in the postcolonial era.
|
E1460107
|
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: Abdulla | Statement: [Petals of Blood, hasCharacter, Abdulla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abdulla Context triple: [Petals of Blood, hasCharacter, Abdulla]
-
A.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
B.
Abdalla
Abdalla is a surname most notably borne by British-Egyptian actor and producer Khalid Abdalla, known for roles in films such as "United 93" and "The Kite Runner."
-
C.
Abdulrahman
Abdulrahman is a masculine given name of Arabic origin meaning "servant of the Most Merciful," commonly used across the Muslim world.
-
D.
Abdul
Abdul is a common male given name of Arabic origin meaning "servant of" (typically followed by one of the names of God).
-
E.
Ali Abdul
Ali Abdul is a beloved supporting character in the Netflix series "Squid Game," portrayed as a kind-hearted Pakistani migrant worker who participates in the deadly competition.
- 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: Abdulla Triple: [Petals of Blood, hasCharacter, Abdulla]
Generated description
Abdulla is a character in Ngũgĩ wa Thiong'o's novel "Petals of Blood," representing the struggles and transformations of ordinary Kenyans in the postcolonial era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abdulla Target entity description: Abdulla is a character in Ngũgĩ wa Thiong'o's novel "Petals of Blood," representing the struggles and transformations of ordinary Kenyans in the postcolonial era.
-
A.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
B.
Abdalla
Abdalla is a surname most notably borne by British-Egyptian actor and producer Khalid Abdalla, known for roles in films such as "United 93" and "The Kite Runner."
-
C.
Abdulrahman
Abdulrahman is a masculine given name of Arabic origin meaning "servant of the Most Merciful," commonly used across the Muslim world.
-
D.
Abdul
Abdul is a common male given name of Arabic origin meaning "servant of" (typically followed by one of the names of God).
-
E.
Ali Abdul
Ali Abdul is a beloved supporting character in the Netflix series "Squid Game," portrayed as a kind-hearted Pakistani migrant worker who participates in the deadly competition.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fae2299c8190afa1b9ec5bd9df32 |
completed | April 21, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092faf16b0819097a3eeee0155a3dd |
completed | May 17, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a0930490b3481908e11810632652af6 |
completed | May 17, 2026, 3:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0930ac06b08190b319d9b779897977 |
completed | May 17, 2026, 3:06 a.m. |
Created at: April 16, 2026, 1:28 p.m.