Triple
T16895231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel |
E424281
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Andrew Sachs |
E417860
|
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: Andrew Sachs | Statement: [Manuel, portrayedBy, Andrew Sachs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Sachs Context triple: [Manuel, portrayedBy, Andrew Sachs]
-
A.
Andrew Sachs
chosen
Andrew Sachs was a British actor best known for his comedic role as the hapless waiter Manuel in the classic sitcom "Fawlty Towers."
-
B.
Clifford Stein
Clifford Stein is a computer scientist and professor best known for his contributions to algorithms and operations research, including co-authoring the widely used textbook "Introduction to Algorithms."
-
C.
Teddy Schwarzman
Teddy Schwarzman is an American film producer and founder of Black Bear Pictures, known for backing acclaimed films such as "The Imitation Game."
-
D.
Michael Perelman
Michael Perelman is an American economist and author known for his critical analyses of capitalism, economic history, and the social consequences of market-driven policies.
-
E.
Michael Steinhardt
Michael Steinhardt is an American billionaire hedge fund manager and philanthropist known for his influential role in the investment world and major donations to educational and cultural institutions.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d7aec88190888f13601acbcd77 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7ad473081908b1c1d9524cf64a6 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.