Triple
T3793257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Kurtzman |
E89706
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | From Beyond |
E389494
|
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: From Beyond | Statement: [Robert Kurtzman, workedOn, From Beyond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: From Beyond Context triple: [Robert Kurtzman, workedOn, From Beyond]
-
A.
From Beyond
chosen
From Beyond is a 1986 science-fiction horror film, loosely based on an H. P. Lovecraft story, known for its grotesque practical effects and exploration of otherworldly dimensions.
-
B.
From Chaos
"From Chaos" is a studio album by the American rock band 311, blending alternative rock, reggae, and funk influences.
-
C.
Otherside
"Otherside" is a track by Post Malone from his hit studio album "Beerbongs & Bentleys."
-
D.
Toward the Unknown Region
Toward the Unknown Region is a choral-orchestral work by Ralph Vaughan Williams, celebrated for its expansive, visionary setting of Walt Whitman’s poetry.
-
E.
From Darkness
From Darkness is a British crime drama television series featuring Anne-Marie Duff as a former police officer drawn back into an investigation that forces her to confront her traumatic past.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76b809c81908312f308fbe85bf4 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb1f7a20819082d2ff104167d98b |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.