Triple
T17891270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danjaq |
E447320
|
entity |
| Predicate | franchiseLongevity |
P129191
|
FINISHED |
| Object | long-running film series |
—
|
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: long-running film series | Statement: [Danjaq, franchiseLongevity, long-running film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseLongevity Context triple: [Danjaq, franchiseLongevity, long-running film series]
-
A.
franchiseEra
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.
franchiseEndYear
Indicates the calendar year in which a franchise relationship or agreement is terminated or ceases to operate.
-
D.
involvesFranchiseHistoryOf
Indicates that something pertains to, includes, or concerns the historical development, events, or evolution of a particular franchise.
-
E.
franchiseContinuedAs
Indicates that an existing franchise was succeeded or carried on by another franchise, continuing its storyline, brand, or concept.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.