Triple
T34392579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cell Block Tango |
E882743
|
entity |
| Predicate | hasCharacterMonologue |
P197428
|
FINISHED |
| Object | Pop |
—
|
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: Pop | Statement: [Cell Block Tango, hasCharacterMonologue, Pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterMonologue Context triple: [Cell Block Tango, hasCharacterMonologue, Pop]
-
A.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
B.
hasDialogueTrait
Indicates that an entity possesses a specific characteristic or quality related to dialogue or conversational behavior.
-
C.
hasWrittenDialogueFor
Indicates that one entity has created or authored dialogue content for another entity, such as a work, project, or production.
-
D.
hasIconicDialogue
Indicates that an entity (such as a work or scene) contains dialogue that is widely recognized, memorable, and strongly associated with it.
-
E.
hasDialogueAbout
Indicates that one entity engages in dialogue or conversation concerning the topic, subject, or entity specified by the other.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
| PDg | Predicate description generation | batch_69fe9137730c81909d1d57c30566c89a |
completed | May 9, 2026, 1:43 a.m. |
Created at: May 1, 2026, 1:59 a.m.