Triple
T10184887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mengistu Haile Mariam |
E236882
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mengistu |
E753687
|
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: Mengistu | Statement: [Mengistu Haile Mariam, givenName, Mengistu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mengistu Context triple: [Mengistu Haile Mariam, givenName, Mengistu]
-
A.
Mengistu
chosen
Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
-
B.
Kusu
Kusu is a small town located in Japan’s Kyushu region, known for its rural landscapes and hot spring culture within Ōita Prefecture.
-
C.
Man’en
Man’en was a short Japanese era of the late Edo period that followed Ansei and preceded Bunkyū during the reign of Emperor Kōmei.
-
D.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
-
E.
Reis
Reis was an Ottoman naval rank and title roughly equivalent to captain or chief commander of a ship or small fleet.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded36e9808190b385c5aec4889e00 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317a4d99c8190941322d3de2998f5 |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:12 p.m.