Triple
T32697118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Leek |
E836039
|
entity |
| Predicate | hasScreenDebutMedium |
P18027
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Harvey Leek, hasScreenDebutMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenDebutMedium Context triple: [Harvey Leek, hasScreenDebutMedium, television]
-
A.
screenDebut
Indicates the event or relationship in which an entity appears on screen for the first time in a film, television, or other visual media production.
-
B.
hasOnScreenDebutActor
Indicates that an actor makes their first on-screen appearance in the referenced work or production.
-
C.
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).
-
D.
screenedOn
Indicates that something (such as a film, show, or content) was shown or broadcast on a particular screen, channel, platform, or date.
-
E.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
- 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_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 1, 2026, 1:10 a.m.