Triple
T3035142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William F. Cody |
E82989
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Joel McCrea |
E159573
|
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: Joel McCrea | Statement: [William F. Cody, portrayedBy, Joel McCrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel McCrea Context triple: [William F. Cody, portrayedBy, Joel McCrea]
-
A.
Joel McCrea
chosen
Joel McCrea was an American film actor best known for his leading roles in classic Hollywood Westerns and comedies from the 1930s through the 1950s.
-
B.
Randolph Scott
Randolph Scott was a prominent American film actor best known for his roles in Westerns during the 1930s–1950s.
-
C.
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.
-
D.
Boyd Holbrook
Boyd Holbrook is an American actor and former model known for roles in films like "Logan" and "Gone Girl" and the Netflix series "Narcos."
-
E.
Alan Ladd
Alan Ladd was an American film actor best known for his cool, understated performances in classic movies such as the Western "Shane."
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2a40b48190bfa7cdbb0fbd87f8 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360881c9081909cb4c5e7b93d7b78 |
completed | March 13, 2026, 12:55 a.m. |
Created at: March 8, 2026, 3:01 p.m.