Triple
T30557262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love’s Metamorphosis |
E777731
|
entity |
| Predicate | hasDramaticMedium |
P170769
|
FINISHED |
| Object | live theatre |
—
|
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 theatre | Statement: [Love’s Metamorphosis, hasDramaticMedium, live theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDramaticMedium Context triple: [Love’s Metamorphosis, hasDramaticMedium, live theatre]
-
A.
hasDramaticProduction
Indicates that an entity is associated with or features a specific dramatic production (such as a play, performance, or staged work).
-
B.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
-
C.
hasDramaticStyle
Indicates that an entity employs or is characterized by a theatrical, emotionally intense, or striking manner of expression or presentation.
-
D.
hasDramaticTone
Indicates that something (such as a work, scene, or expression) is characterized by a heightened, intense, or emotionally charged tone.
-
E.
hasDramaticRelief
Indicates that one entity provides or contains a moment or element that eases tension or emotional intensity within another entity or context.
- 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:21 p.m.