Triple
T20954482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petals of Blood |
E516063
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Wanja
Wanja is a central, symbolically rich female character in Ngũgĩ wa Thiong’o’s novel "Petals of Blood," representing both personal struggle and broader social and political upheaval in postcolonial Kenya.
|
E1459554
|
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: Wanja | Statement: [Petals of Blood, hasCharacter, Wanja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanja Context triple: [Petals of Blood, hasCharacter, Wanja]
-
A.
Owenga
Owenga is a small fishing settlement on New Zealand’s Chatham Islands, known as one of the easternmost inhabited communities in the country.
-
B.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
C.
Bawana
Bawana is a suburban and industrial locality in the northern part of Delhi, India, known for its large industrial area and resettlement colonies.
-
D.
Ndungu
Ndungu is a settlement located within Kenya’s Same District, known primarily as a small local community in this administrative area.
-
E.
Walungu
Walungu is a town in the eastern Democratic Republic of the Congo that serves as a local administrative and commercial hub.
- 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: Wanja Triple: [Petals of Blood, hasCharacter, Wanja]
Generated description
Wanja is a central, symbolically rich female character in Ngũgĩ wa Thiong’o’s novel "Petals of Blood," representing both personal struggle and broader social and political upheaval in postcolonial Kenya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanja Target entity description: Wanja is a central, symbolically rich female character in Ngũgĩ wa Thiong’o’s novel "Petals of Blood," representing both personal struggle and broader social and political upheaval in postcolonial Kenya.
-
A.
Owenga
Owenga is a small fishing settlement on New Zealand’s Chatham Islands, known as one of the easternmost inhabited communities in the country.
-
B.
Mungaka
Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
-
C.
Bawana
Bawana is a suburban and industrial locality in the northern part of Delhi, India, known for its large industrial area and resettlement colonies.
-
D.
Ndungu
Ndungu is a settlement located within Kenya’s Same District, known primarily as a small local community in this administrative area.
-
E.
Walungu
Walungu is a town in the eastern Democratic Republic of the Congo that serves as a local administrative and commercial hub.
- 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_6a0927926a4881908a3aa2a088c2b2e1 |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0929b7db588190825b4c8b3aeacd6e |
completed | May 17, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a092a2cd49c8190a9ee196d62d1bb1c |
completed | May 17, 2026, 2:38 a.m. |
Created at: April 16, 2026, 1:28 p.m.