Triple
T9068963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony |
E217312
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Richard Beymer |
E520013
|
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: Richard Beymer | Statement: [Tony, portrayedBy, Richard Beymer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Beymer Context triple: [Tony, portrayedBy, Richard Beymer]
-
A.
Richard Beymer
chosen
Richard Beymer is an American actor best known for playing Tony in the 1961 film adaptation of the musical "West Side Story."
-
B.
Ormond Beatty
Ormond Beatty was a 19th-century American educator and academic administrator best known for serving as president of Centre College in Kentucky.
-
C.
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.
-
D.
Dean Stockwell
Dean Stockwell was an American actor known for his versatile career from child stardom to acclaimed adult roles in film and television, including his Emmy-nominated performance in "Quantum Leap."
-
E.
Bradford Dillman
Bradford Dillman was an American actor known for his work in film, television, and theater from the 1950s through the 1990s, often portraying complex or authoritative characters.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffddc5c288190b18c2ae1aece4ed6 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.