Triple
T28207816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammer horror films |
E717078
|
entity |
| Predicate | ratingReputation |
P37397
|
FINISHED |
| Object | controversial for violence and sexuality in the 1950s and 1960s |
—
|
LITERAL 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: controversial for violence and sexuality in the 1950s and 1960s | Statement: [Hammer horror films, ratingReputation, controversial for violence and sexuality in the 1950s and 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ratingReputation Context triple: [Hammer horror films, ratingReputation, controversial for violence and sexuality in the 1950s and 1960s]
-
A.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
B.
ratingContext
Indicates the situational or contextual factors under which a rating is given or applies.
-
C.
managerReputation
Indicates the perceived quality, trustworthiness, and effectiveness of a manager as judged by others.
-
D.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
E.
ratingDescription
chosen
Indicates the textual explanation or qualitative summary associated with a given rating or score.
- F. None of above.
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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6430ef8f08190a1a75c70ea8863aa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:36 p.m.