Triple
T6394053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burt |
E143896
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Burt Ward |
E570381
|
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: Burt Ward | Statement: [Burt, hasNotableBearer, Burt Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burt Ward Context triple: [Burt, hasNotableBearer, Burt Ward]
-
A.
Burt Ward
chosen
Burt Ward is an American actor best known for playing Robin, the Boy Wonder, in the 1960s Batman television series.
-
B.
Adam West
Adam West was an American actor best known for his iconic portrayal of Batman in the 1960s television series.
-
C.
John Battsek
John Battsek is a British film producer renowned for his work on acclaimed feature documentaries and sports-related non-fiction films.
-
D.
Benjamin Dreyfuss
Benjamin Dreyfuss is an American journalist and actor, known both for his work in media and as the son of Academy Award–winning actor Richard Dreyfuss.
-
E.
Dean Cain
Dean Cain is an American actor best known for portraying Superman/Clark Kent in the 1990s television series "Lois & Clark: The New Adventures of Superman."
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06881313481908e9082ffe57f29b6 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638935934819096a34da6f1b5110b |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.