Triple
T8537311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars 3 (film score) |
E202109
|
entity |
| Predicate | composerOfFranchiseEntryNumber |
P83198
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Cars 3 (film score), composerOfFranchiseEntryNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerOfFranchiseEntryNumber Context triple: [Cars 3 (film score), composerOfFranchiseEntryNumber, 3]
-
A.
franchiseEntryNumber
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
B.
franchiseWorkedOn
Indicates that an entity has contributed work to, or been professionally involved with, a particular franchise.
-
C.
franchiseCreatorOf
Indicates that an entity is the original creator or originator of a particular franchise.
-
D.
originalFranchiseOf
Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
-
E.
partOfFranchiseLineage
Indicates that one entity belongs to, or is derived from, the same overarching franchise lineage as another entity, reflecting continuity within a shared franchise.
- F. None of above. chosen
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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a5c2848190836c612597de83b7 |
completed | March 31, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:18 p.m.