Triple
T32831801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Medium |
E839707
|
entity |
| Predicate | hasComposerLibrettistInCommonWith |
P205173
|
FINISHED |
| Object | The Telephone |
E839708
|
NE 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: The Telephone | Statement: [The Medium, hasComposerLibrettistInCommonWith, The Telephone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposerLibrettistInCommonWith Context triple: [The Medium, hasComposerLibrettistInCommonWith, The Telephone]
-
A.
composerLibrettistSamePerson
Indicates that the composer of a musical or operatic work and its librettist are the same individual.
-
B.
coAuthorOfLibrettoWith
Indicates that two or more individuals collaborated in writing the same libretto.
-
C.
librettistOfWorkAppearingIn
Indicates that a person is the librettist responsible for the text of a work that appears within a larger composite work or collection.
-
D.
scoredBySameComposerAsFilm
Indicates that the work is scored by a composer who also composed the score for the referenced film.
-
E.
isRelatedWorkOfComposer
Indicates that one work is associated with or connected to a particular composer, typically as a composition created by that composer.
- F. None of above. chosen
Provenance (5 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c670dea08190b6b0ab4807e751cd |
completed | June 19, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:16 a.m.