Triple
T4168042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Succeed in Business Without Really Trying (revival) |
E84490
|
entity |
| Predicate | hasPerformanceMode |
P27645
|
FINISHED |
| Object | live performance |
—
|
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: live performance | Statement: [How to Succeed in Business Without Really Trying (revival), hasPerformanceMode, live performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformanceMode Context triple: [How to Succeed in Business Without Really Trying (revival), hasPerformanceMode, live performance]
-
A.
typicalPerformanceMode
chosen
Indicates the usual or most common way in which an entity performs an action or operates.
-
B.
hasWorkingMode
Indicates that an entity operates under or supports a particular mode or configuration of functioning.
-
C.
hasPerformanceConvention
Indicates that there is an agreed-upon set of rules, norms, or standards governing how a particular performance or activity should be carried out.
-
D.
hasPerformanceContext
Indicates that an entity is associated with a specific performance-related situation, setting, or set of conditions under which it operates or is evaluated.
-
E.
hasNoisePerformance
Indicates the degree to which one entity’s operation or behavior produces or is characterized by a certain level or quality of noise.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c573788190a60ab3f83b07a6f6 |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.