Triple
T22873430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagoon |
E567258
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ayodele
Ayodele is the central protagonist of the story "Lagoon," around whom the narrative’s key events and conflicts revolve.
|
E1558031
|
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: Ayodele | Statement: [Lagoon, mainCharacter, Ayodele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayodele Context triple: [Lagoon, mainCharacter, Ayodele]
-
A.
Ayodele Balogun
Ayodele Balogun is the central protagonist of the novel "Mother of George," around whom the story’s emotional and cultural conflicts revolve.
-
B.
Yetunde
Yetunde is a feminine given name of Yoruba origin meaning "mother has returned," commonly used in West Africa and among the Yoruba diaspora.
-
C.
Olunike Adeliyi
Olunike Adeliyi is a Canadian actress known for her work in film and television, including roles in genre and horror productions.
-
D.
Yemi Alade
Yemi Alade is a Nigerian singer and songwriter renowned for her energetic Afrobeats hits and vibrant pan-African musical style.
-
E.
Tami Alade
Tami Alade is a Canadian volleyball player and standout middle blocker who competed for Stanford University's women's volleyball team.
- 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: Ayodele Triple: [Lagoon, mainCharacter, Ayodele]
Generated description
Ayodele is the central protagonist of the story "Lagoon," around whom the narrative’s key events and conflicts revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ayodele Target entity description: Ayodele is the central protagonist of the story "Lagoon," around whom the narrative’s key events and conflicts revolve.
-
A.
Ayodele Balogun
Ayodele Balogun is the central protagonist of the novel "Mother of George," around whom the story’s emotional and cultural conflicts revolve.
-
B.
Yetunde
Yetunde is a feminine given name of Yoruba origin meaning "mother has returned," commonly used in West Africa and among the Yoruba diaspora.
-
C.
Olunike Adeliyi
Olunike Adeliyi is a Canadian actress known for her work in film and television, including roles in genre and horror productions.
-
D.
Yemi Alade
Yemi Alade is a Nigerian singer and songwriter renowned for her energetic Afrobeats hits and vibrant pan-African musical style.
-
E.
Tami Alade
Tami Alade is a Canadian volleyball player and standout middle blocker who competed for Stanford University's women's volleyball team.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f55c4b88190adb49871e496ca54 |
completed | April 29, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae98804c8190bb1102516426a0ba |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0baef3b7ac8190a0f3df86c7751253 |
completed | May 19, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baf6c25d081908330d581e2fa49d4 |
completed | May 19, 2026, 12:31 a.m. |
Created at: April 17, 2026, 3:39 p.m.