Triple
T28654195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses Blah |
E725283
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object |
Liberian ambassador to Morocco
The Liberian ambassador to Morocco is the official diplomatic representative of Liberia responsible for managing and advancing Liberia’s political, economic, and cultural relations with the Kingdom of Morocco.
|
E1827256
|
NE FINISHED |
How this triple was built (2 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: Liberian ambassador to Morocco | Statement: [Moses Blah, positionHeld, Liberian ambassador to Morocco]
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: Liberian ambassador to Morocco Triple: [Moses Blah, positionHeld, Liberian ambassador to Morocco]
Generated description
The Liberian ambassador to Morocco is the official diplomatic representative of Liberia responsible for managing and advancing Liberia’s political, economic, and cultural relations with the Kingdom of Morocco.
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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652e725c88190879200135ceef316 |
completed | May 2, 2026, 7:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cc38bb1d481909c20ce5ef68a9147 |
completed | May 31, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a1cc3ede124819081809a5cbbc5a3d6 |
completed | May 31, 2026, 11:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1cc4b69e5c8190bae7beb6a8b82aa7 |
completed | May 31, 2026, 11:31 p.m. |
Created at: April 28, 2026, 4:54 a.m.