Triple
T29732115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry |
E752354
|
entity |
| Predicate | portrayalDebutYear |
P146852
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Henry, portrayalDebutYear, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalDebutYear Context triple: [Henry, portrayalDebutYear, 1986]
-
A.
earlierPortrayalReleaseYear
Indicates that the release year of one portrayal occurred before the release year of another portrayal.
-
B.
portrayalEndYear
Indicates the year in which a particular portrayal of an entity (such as a role, character, or representation) concluded.
-
C.
mediaPortrayalStartYear
chosen
Indicates the year in which a particular media portrayal of an entity first began or was introduced.
-
D.
firstStagePortrayalBy
Indicates that an entity’s initial or earliest stage is depicted or represented by another entity.
-
E.
theaterDebutWith
Indicates that an entity made its first appearance or performance in a theater production together with another specified entity.
- 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 28, 2026, 7:43 p.m.