Triple
T33184856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvada Productions |
E849437
|
entity |
| Predicate | associatedShowSetting |
P206377
|
FINISHED |
| Object | New Rochelle, New York |
E75929
|
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: New Rochelle, New York | Statement: [Calvada Productions, associatedShowSetting, New Rochelle, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedShowSetting Context triple: [Calvada Productions, associatedShowSetting, New Rochelle, New York]
-
A.
associatedShow
Indicates a relationship where one entity is linked or connected to a particular show (e.g., as its subject, source, or related program).
-
B.
associatedShowType
Indicates a relationship where one entity is linked to the type or category of show with which it is associated.
-
C.
associatedShowFormat
Indicates that one entity (such as a show or program) is linked to a particular format or type of presentation it follows.
-
D.
relatedShowElement
Indicates that one show element is associated with or connected to another show element in some relevant way.
-
E.
associatedEpisode
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35a65679148190800bc4260ee1c0ff |
completed | June 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:29 a.m.