Triple
T6512195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo Farah |
E150162
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Farah |
E228803
|
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: Farah | Statement: [Mo Farah, familyName, Farah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farah Context triple: [Mo Farah, familyName, Farah]
-
A.
Farah
chosen
Farah is a major city in western Afghanistan that serves as the capital of Farah Province and an important regional center for trade and agriculture.
-
B.
Farah Stockman
Farah Stockman is an American journalist and New York Times editorial board member known for her incisive commentary on politics, race, and social justice.
-
C.
Farah Diba
Farah Diba is the former Empress (Shahbanu) of Iran, known for her marriage to Shah Mohammad Reza Pahlavi and her prominent role in Iran’s cultural and social modernization before the 1979 revolution.
-
D.
Djanira
Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
-
E.
Faiha
Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6421748190b8f2b77c77b153bc |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:44 p.m.