Triple
T6796871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleni Meleagrou |
E156074
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Alexander Meleagrou-Hitchens |
E620128
|
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: Alexander Meleagrou-Hitchens | Statement: [Eleni Meleagrou, notableRelative, Alexander Meleagrou-Hitchens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Meleagrou-Hitchens Context triple: [Eleni Meleagrou, notableRelative, Alexander Meleagrou-Hitchens]
-
A.
Alexander Meleagrou-Hitchens
chosen
Alexander Meleagrou-Hitchens is a British academic and researcher known for his work on terrorism, radicalization, and extremist movements.
-
B.
Aris Velouchiotis
Aris Velouchiotis was a prominent Greek communist resistance leader during World War II, best known for organizing and commanding partisan forces against Axis occupation.
-
C.
Alex Georgiou
Alex Georgiou is a film producer best known for his work on the movie "Gully."
-
D.
Loucas Haji-Ioannou
Loucas Haji-Ioannou is a member of the prominent Haji-Ioannou family, known for its shipping and entrepreneurial ventures.
-
E.
Peter Mamakos
Peter Mamakos was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying ethnic or villainous characters.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c872f0819092f21e8fdbecc667 |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723d211508190a31747b2d67ed42e |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:15 p.m.