Triple
T31459797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endless |
E802555
|
entity |
| Predicate | featuresAustralianActor |
P198156
|
FINISHED |
| Object | Nicholas Hamilton |
—
|
NE NERFINISHED |
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: Nicholas Hamilton | Statement: [Endless, featuresAustralianActor, Nicholas Hamilton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAustralianActor Context triple: [Endless, featuresAustralianActor, Nicholas Hamilton]
-
A.
starredAustralianActress
Indicates that a person performed a starring role as an actress in an Australian production.
-
B.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
-
C.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
D.
notableBearActor
Indicates that the subject is a bear who is recognized for acting roles or performances.
-
E.
hasLeadActorNationality
chosen
Indicates that the nationality of the lead actor in a work is a specified country or nationality.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a007dd341108190a1d03eab46041694 |
completed | May 10, 2026, 12:45 p.m. |
| PD | Predicate disambiguation | batch_6a007b1fe2a881909ec50a1e65e4651b |
completed | May 10, 2026, 12:33 p.m. |
Created at: April 30, 2026, 9:19 p.m.