Triple
T11320096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don McKellar |
E268069
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Childstar |
E783630
|
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: Childstar | Statement: [Don McKellar, notableWork, Childstar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Childstar Context triple: [Don McKellar, notableWork, Childstar]
-
A.
Childstar
chosen
Childstar is a Canadian comedy-drama film that satirizes the world of child actors and early fame.
-
B.
Little Miss Broadway
Little Miss Broadway is a 1938 American musical film starring Shirley Temple, known for its blend of song, dance, and heartwarming drama.
-
C.
Rising Star
Rising Star is a country-pop song by Canadian singer-songwriter and actress MacKenzie Porter.
-
D.
Rising Star
Rising Star is a trance music alias used by Dutch DJ and producer Armin van Buuren for his more classic, uplifting trance productions.
-
E.
Childs Play
Child's Play is a horror film franchise centered on the killer doll Chucky, known for blending slasher violence with dark humor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.