Triple
T3316837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MICA Entertainment |
E69701
|
entity |
| Predicate | roleInTheLostCityOfZ |
P47238
|
FINISHED |
| Object | financier |
—
|
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: financier | Statement: [MICA Entertainment, roleInTheLostCityOfZ, financier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTheLostCityOfZ Context triple: [MICA Entertainment, roleInTheLostCityOfZ, financier]
-
A.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
-
B.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
C.
roleInGoldRush
Indicates that an entity played a specific role or had a particular involvement in the historical event known as the Gold Rush.
-
D.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
E.
roleInStories
Indicates the specific function, position, or character part an entity plays within one or more stories.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb11230b881908f5b554323729cc5 |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.