Triple
T34083484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierce Global Media |
E874110
|
entity |
| Predicate | formatInFiction |
P180682
|
FINISHED |
| Object | conglomerate with television, print, and digital assets |
—
|
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: conglomerate with television, print, and digital assets | Statement: [Pierce Global Media, formatInFiction, conglomerate with television, print, and digital assets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatInFiction Context triple: [Pierce Global Media, formatInFiction, conglomerate with television, print, and digital assets]
-
A.
hasFormatInFiction
Indicates that a work of fiction is presented or realized in a particular narrative or media format (e.g., novel, film, comic).
-
B.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
typicalStyleInFiction
Indicates the characteristic narrative or artistic style that an entity most commonly exhibits within fictional works.
-
E.
fictionalType
Indicates that one entity is a fictional or imaginary type or category of the other entity.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: May 1, 2026, 1:52 a.m.