Triple
T21661788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beirut Governorate |
E534610
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Medawar |
—
|
NE NERFINISHED |
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: Medawar | Statement: [Beirut Governorate, contains, Medawar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medawar Context triple: [Beirut Governorate, contains, Medawar]
-
A.
Medawar
chosen
Medawar is a district in Beirut, Lebanon, known for its diverse urban character and historical significance within the city.
-
B.
Dervan
Dervan is a surname most notably associated with American chemist Peter B. Dervan, known for his pioneering work in bioorganic chemistry and DNA recognition.
-
C.
Medavoy
Medavoy is the surname of American film producer and studio executive Mike Medavoy, known for his influential role in Hollywood cinema.
-
D.
Lankester Merrin
Lankester Merrin is a fictional Catholic priest and exorcist best known as the central character in the Exorcist film series, particularly for confronting demonic possession.
-
E.
Laird
Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0883d481908dfdc66832c34d74 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.