Triple
T9720324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Serling |
E235447
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Serling |
E235447
|
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: Serling | Statement: [Rod Serling, familyName, Serling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serling Context triple: [Rod Serling, familyName, Serling]
-
A.
Rod Serling
chosen
Rod Serling was an American screenwriter, playwright, and television producer best known as the creator and host of the groundbreaking anthology series "The Twilight Zone."
-
B.
Robert J. Serling
Robert J. Serling was an American aviation writer and novelist, known for his bestselling airline-themed thrillers and for being the older brother of "The Twilight Zone" creator Rod Serling.
-
C.
Silverberg
Silverberg is a surname most notably associated with American science fiction author Robert Silverberg.
-
D.
Haldeman
Haldeman is the maiden surname of model and dietitian Maye Musk, mother of entrepreneur Elon Musk.
-
E.
Haldeman
Haldeman is a surname most notably associated with H. R. Haldeman, the White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e419c2c8190b325d5fd692c6000 |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f9c4ff4819098ad941438abbe3c |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:20 p.m.