Triple
T9854000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan & Naomi |
E239538
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Zohra Lampert |
E335073
|
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: Zohra Lampert | Statement: [Alan & Naomi, castMember, Zohra Lampert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zohra Lampert Context triple: [Alan & Naomi, castMember, Zohra Lampert]
-
A.
Zohra Lampert
chosen
Zohra Lampert is an American actress known for her nuanced performances in film, television, and theater, including acclaimed roles in 1960s cinema and later cult horror.
-
B.
Leila Gerstein
Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
-
C.
Herta Amir
Herta Amir is a benefactor whose philanthropy is commemorated through the naming of the Herta and Paul Amir Building.
-
D.
Odette Halban
Odette Halban was the wife of physicist Hans von Halban, associated with the European scientific and intellectual milieu of the mid-20th century.
-
E.
Miriam Palatnik
Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e4349a50819084ee1fcd067a082b |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:34 p.m.