Triple
T20390921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Species |
E498081
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Dennis Feldman |
—
|
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: Dennis Feldman | Statement: [Species, writer, Dennis Feldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Feldman Context triple: [Species, writer, Dennis Feldman]
-
A.
Dennis Feldman
chosen
Dennis Feldman is an American screenwriter and photographer best known for writing genre films such as "The Golden Child" and "Species."
-
B.
Barry Newman
Barry Newman was an American actor best known for his role as the antihero Kowalski in the cult road movie "Vanishing Point" (1971).
-
C.
Stephen Macht
Stephen Macht is an American actor known for his work in film and television, including prominent roles in horror and crime dramas.
-
D.
Efrem Zimbalist Jr.
Efrem Zimbalist Jr. was an American actor best known for his starring roles in the television series "77 Sunset Strip" and "The F.B.I."
-
E.
Alan Cline
Alan Cline is a computer scientist and academic known for his long-standing faculty role in the Department of Computer Science at the University of Texas at Austin.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.