Triple
T38390603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Universe |
E899704
|
entity |
| Predicate | franchisePeriod |
P65784
|
FINISHED |
| Object | 2017–2019 (approximate development span) |
—
|
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: 2017–2019 (approximate development span) | Statement: [Dark Universe, franchisePeriod, 2017–2019 (approximate development span)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchisePeriod Context triple: [Dark Universe, franchisePeriod, 2017–2019 (approximate development span)]
-
A.
franchiseEra
chosen
Indicates the specific historical or operational period within which a franchise’s activities, rights, or identity are defined.
-
B.
maintainedFranchiseFor
Indicates that one entity was responsible for operating, managing, or upholding a franchise on behalf of another entity over a period of time.
-
C.
franchiseLongevity
Indicates the duration or length of time that a franchise has existed or been in operation.
-
D.
franchiseEndYear
Indicates the calendar year in which a franchise relationship or agreement is terminated or ceases to operate.
-
E.
franchisePhase
Indicates the specific stage or phase a franchise is currently in within its overall lifecycle or development process.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.