Triple
T11386505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom and Jerry (theatrical shorts for MGM) |
E269726
|
entity |
| Predicate | numberOfOriginalMGMShorts |
P78064
|
FINISHED |
| Object | 114 |
—
|
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: 114 | Statement: [Tom and Jerry (theatrical shorts for MGM), numberOfOriginalMGMShorts, 114]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOriginalMGMShorts Context triple: [Tom and Jerry (theatrical shorts for MGM), numberOfOriginalMGMShorts, 114]
-
A.
numberOfShorts
chosen
Indicates the quantity or count of shorts associated with a given entity.
-
B.
numberOfShortsForColumbia
Indicates the quantity of shorts associated with or produced for Columbia.
-
C.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
-
D.
hasApproximateNumberOfMiniatures
Indicates that an entity is associated with an estimated or non-exact count of miniatures.
-
E.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
- F. None of above.
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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.