Triple
T23480130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burt Ward |
E570381
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Bert Gervis Sr. |
—
|
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: Bert Gervis Sr. | Statement: [Burt Ward, relative, Bert Gervis Sr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Gervis Sr. Context triple: [Burt Ward, relative, Bert Gervis Sr.]
-
A.
Bert John Gervis Jr.
chosen
Bert John Gervis Jr., better known as Burt Ward, is an American actor and activist best known for playing Robin in the 1960s "Batman" television series.
-
B.
Bert Kling
Bert Kling is a recurring police detective in Ed McBain’s 87th Precinct crime novel series, known for his youthful idealism and professional growth within the squad.
-
C.
Bert Harrison
Bert Harrison is a fictional protagonist best known as the central character in the work "Trophy Wife."
-
D.
Bert Enger
Bert Enger was a prominent Duluth, Minnesota businessman and philanthropist whose legacy includes the naming of Enger Hill and the nearby Enger Tower.
-
E.
Bud Brigman
Bud Brigman is the deep-sea oil rig foreman and central protagonist in James Cameron's science fiction film "The Abyss."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74f48d8819080e875aaea8b46b3 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.