Triple
T16569200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Code Black |
E402538
|
entity |
| Predicate | isFictionalDepictionOf |
P92229
|
FINISHED |
| Object | emergency department operations |
—
|
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: emergency department operations | Statement: [Code Black, isFictionalDepictionOf, emergency department operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFictionalDepictionOf Context triple: [Code Black, isFictionalDepictionOf, emergency department operations]
-
A.
depictionBasedOn
Indicates that one depiction is created using another work, image, or representation as its source or reference.
-
B.
portraysFictionalized
Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
-
C.
basedOnInFiction
chosen
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
D.
hasViewOfFictional
Indicates that one entity has a visual or conceptual perspective of a fictional entity or scene.
-
E.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.