Triple
T32131784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Screen Award for Best Original Music Score |
E820668
|
entity |
| Predicate | hasNotableFormerName |
P65
|
FINISHED |
| Object | Genie Award for Best Original Score |
E1993224
|
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: Genie Award for Best Original Score | Statement: [Canadian Screen Award for Best Original Music Score, hasNotableFormerName, Genie Award for Best Original Score]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFormerName Context triple: [Canadian Screen Award for Best Original Music Score, hasNotableFormerName, Genie Award for Best Original Score]
-
A.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
B.
hasFormerTitle
Indicates that an entity previously held a specific title or position but no longer does.
-
C.
notableMemberBirthName
Indicates the birth name of a notable member associated with an entity.
-
D.
heldAtFormerName
Indicates that an event or activity took place at a location when it was known by a previous or former name.
-
E.
hasSubsequentNameChange
Indicates that an entity undergoes a later change to its name, resulting in a new official designation after the original.
- F. None of above.
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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f3b7b6af081908ed77d68ce1a6442 |
completed | June 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: May 1, 2026, 12:29 a.m.