Triple
T6066580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nnedi Okorafor |
E135174
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
|
E567264
|
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: Kabu Kabu | Statement: [Nnedi Okorafor, notableWork, Kabu Kabu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabu Kabu Context triple: [Nnedi Okorafor, notableWork, Kabu Kabu]
-
A.
Tilba Tilba
Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
-
B.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
C.
Iya Labunka
Iya Labunka is a film producer known for her work on genre films, including serving as a producer on the horror sequel "Scream 4."
-
D.
Rambu Tuka'
Rambu Tuka' is a traditional Torajan thanksgiving ceremony that celebrates life, prosperity, and the rice harvest with communal rituals, offerings, and festivities.
-
E.
Aku Aku
Aku Aku is a sentient wooden mask who guides and protects Crash Bandicoot throughout the Crash Bandicoot video game series.
- 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: Kabu Kabu Triple: [Nnedi Okorafor, notableWork, Kabu Kabu]
Generated description
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kabu Kabu Target entity description: Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
A.
Tilba Tilba
Tilba Tilba is a small historic village in southeastern New South Wales, Australia, known for its well-preserved 19th-century buildings and scenic rural surroundings.
-
B.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
C.
Iya Labunka
Iya Labunka is a film producer known for her work on genre films, including serving as a producer on the horror sequel "Scream 4."
-
D.
Rambu Tuka'
Rambu Tuka' is a traditional Torajan thanksgiving ceremony that celebrates life, prosperity, and the rice harvest with communal rituals, offerings, and festivities.
-
E.
Aku Aku
Aku Aku is a sentient wooden mask who guides and protects Crash Bandicoot throughout the Crash Bandicoot video game series.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573f17088190a728f1c290cc9d1d |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d23dca8819080702ca0f05df5dd |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11dec348c819090715aa1ec407f11 |
completed | March 23, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e5efd848190adb834e42b4bdc9e |
completed | March 23, 2026, 11:05 a.m. |
Created at: March 22, 2026, 4:10 p.m.