Triple
T8539807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adjoa Andoh |
E202167
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Andoh
Andoh is the surname of British actress Adjoa Andoh, known for her work in theatre, television, and film.
|
E741053
|
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: Andoh | Statement: [Adjoa Andoh, familyName, Andoh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andoh Context triple: [Adjoa Andoh, familyName, Andoh]
-
A.
Lomanikoro
Lomanikoro is a village located on Kadavu Island in Fiji.
-
B.
Anjara
Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
-
C.
Mahanama
Mahanama was an early Buddhist lay disciple and relative of the Buddha who is traditionally remembered as one of the prominent listeners to his foundational teachings.
-
D.
Savusavu
Savusavu is a small coastal town on the island of Vanua Levu in Fiji, known for its sheltered bay, hot springs, and popularity as a yachting and diving destination.
-
E.
Tsaratanana Massif
Tsaratanana Massif is a mountainous region in northern Madagascar known for containing the island’s highest peak and hosting unique high-altitude ecosystems.
- 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: Andoh Triple: [Adjoa Andoh, familyName, Andoh]
Generated description
Andoh is the surname of British actress Adjoa Andoh, known for her work in theatre, television, and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andoh Target entity description: Andoh is the surname of British actress Adjoa Andoh, known for her work in theatre, television, and film.
-
A.
Lomanikoro
Lomanikoro is a village located on Kadavu Island in Fiji.
-
B.
Anjara
Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
-
C.
Mahanama
Mahanama was an early Buddhist lay disciple and relative of the Buddha who is traditionally remembered as one of the prominent listeners to his foundational teachings.
-
D.
Savusavu
Savusavu is a small coastal town on the island of Vanua Levu in Fiji, known for its sheltered bay, hot springs, and popularity as a yachting and diving destination.
-
E.
Tsaratanana Massif
Tsaratanana Massif is a mountainous region in northern Madagascar known for containing the island’s highest peak and hosting unique high-altitude ecosystems.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6dfb2bc8190a41e32eca3c824c2 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d9d06e48190a5c0cfa9779fc07c |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec2d6608190a7732e999a05d565 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f7948cc8190b8248e59044cf4fb |
completed | April 2, 2026, 1:30 p.m. |
Created at: March 30, 2026, 6:18 p.m.