Triple
T11151330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arliss Howard |
E263792
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Arliss |
E323853
|
NE 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: Arliss | Statement: [Arliss Howard, givenName, Arliss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arliss Context triple: [Arliss Howard, givenName, Arliss]
-
A.
Arliss
chosen
"Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
-
B.
Rilland
Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
-
C.
Arley
Arley is a small rural town located in Winston County in the U.S. state of Alabama.
-
D.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
E.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4422ca62c81909a3a935fb7e28c34 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 8, 2026, 9:28 p.m.