Triple
T26853733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Flynn |
E676125
|
entity |
| Predicate | introducedByMedium |
P18027
|
FINISHED |
| Object | feature film |
—
|
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: feature film | Statement: [Sam Flynn, introducedByMedium, feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedByMedium Context triple: [Sam Flynn, introducedByMedium, feature film]
-
A.
introducedInMedium
chosen
Indicates that an entity first appears or is initially presented within a specified medium (such as a book, film, game, or other format).
-
B.
oftenIntroducedBy
Indicates that one entity is frequently presented, mentioned, or brought into context by another entity.
-
C.
wereIntroducedBy
Indicates that one entity became known, presented, or brought to the attention of another entity through the action or mediation of a third party.
-
D.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
E.
areIntroducedBy
Indicates that one entity becomes known or presented to another entity through the action or mediation of a third party or 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 5:19 a.m.