Triple
T32261445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death by Hanging |
E824160
|
entity |
| Predicate | hasMetacriticTopic |
P197175
|
FINISHED |
| Object | capital punishment in film |
—
|
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: capital punishment in film | Statement: [Death by Hanging, hasMetacriticTopic, capital punishment in film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetacriticTopic Context triple: [Death by Hanging, hasMetacriticTopic, capital punishment in film]
-
A.
hasMetacriticRecognition
Indicates that an entity has received recognition, rating, or acknowledgment from Metacritic, typically through inclusion, scoring, or listing on the Metacritic platform.
-
B.
hasMetacriticPage
Indicates that an entity has a dedicated page or entry on the Metacritic review aggregation website.
-
C.
hasMetacriticId
Indicates that an entity is associated with a specific identifier used by Metacritic to reference it in their database.
-
D.
metacriticCategory
Indicates that one entity is classified under a specific Metacritic-defined category (such as a media type, genre, or section) in the Metacritic system.
-
E.
metacriticReception
Indicates the critical reception or review score an entity received on Metacritic.
- F. None of above. chosen
Provenance (4 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69fe7b1b3460819081172731b52ac15b |
completed | May 9, 2026, 12:08 a.m. |
Created at: May 1, 2026, 12:41 a.m.