Triple
T30575932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Pitt as Louis de Pointe du Lac |
E778243
|
entity |
| Predicate | moodOfPerformance |
P169867
|
FINISHED |
| Object | somber |
—
|
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: somber | Statement: [Brad Pitt as Louis de Pointe du Lac, moodOfPerformance, somber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moodOfPerformance Context triple: [Brad Pitt as Louis de Pointe du Lac, moodOfPerformance, somber]
-
A.
performedUnder
Indicates that an action or task was carried out subject to, or within the scope of, a particular condition, authority, context, or framework.
-
B.
balanceOfPerformance
Indicates a relationship where performance characteristics between entities are adjusted or equalized to maintain fairness or parity.
-
C.
intendedPerformanceMode
Indicates the manner or mode in which an action, process, or performance is meant or designed to be carried out.
-
D.
performedTo
Indicates that an action or performance is directed toward or carried out on a particular entity.
-
E.
performanceWith
Indicates a relationship where two or more entities participate together in the same performance or staged presentation.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6893cedbc8190af12752ccae5e062 |
completed | May 2, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:22 p.m.