Triple
T33856635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grey Mates (pilot title) |
E867795
|
entity |
| Predicate | originalWorkingTitleOf |
P204306
|
FINISHED |
| Object | Boomers |
E247524
|
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: Boomers | Statement: [Grey Mates (pilot title), originalWorkingTitleOf, Boomers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWorkingTitleOf Context triple: [Grey Mates (pilot title), originalWorkingTitleOf, Boomers]
-
A.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
B.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
C.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
D.
originalTitleUsedIn
Indicates that an entity’s original title is used in or associated with a particular work, edition, or context.
-
E.
fromWorkOriginalTitle
Indicates that an entity originates from or is based on a work whose original title is the one specified.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0379a4086c8190a83df5570f737e15 |
completed | May 12, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36823252588190a54aeaa37e4d089a |
completed | June 20, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_6a037049db848190a6268bf1a8a60223 |
completed | May 12, 2026, 6:24 p.m. |
| PDg | Predicate description generation | batch_6a0379a33dc48190a29f72268c8ca8a8 |
completed | May 12, 2026, 7:04 p.m. |
Created at: May 1, 2026, 1:47 a.m.