Triple
T8503645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Maher |
E201282
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Maher |
E706069
|
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: Maher | Statement: [Bill Maher, familyName, Maher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maher Context triple: [Bill Maher, familyName, Maher]
-
A.
Maher
chosen
Maher is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
-
B.
Alexander Hammid
Alexander Hammid was a Czech-American filmmaker and cinematographer known for his influential work in documentary and avant-garde cinema, including collaborations with directors like Frank Capra.
-
C.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
D.
Nick Mohammed
Nick Mohammed is a British actor, comedian, and writer best known for his role as the anxious kit man-turned-coach Nathan Shelley on the television series "Ted Lasso."
-
E.
Amer Wagdi
Amer Wagdi is a central character in Naguib Mahfouz’s novel "Miramar," representing the older generation’s memories and perspectives amid Egypt’s social and political change.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59d67d081908155a43b9b463fe3 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e26a3108190a48b00c2927be971 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.