Triple
T11396147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make Room for Daddy |
E269977
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rusty Hamer |
E390512
|
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: Rusty Hamer | Statement: [Make Room for Daddy, starring, Rusty Hamer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rusty Hamer Context triple: [Make Room for Daddy, starring, Rusty Hamer]
-
A.
Rusty Hamer
chosen
Rusty Hamer was an American child actor best known for playing Danny Thomas’s son, Rusty Williams, on the classic television sitcom "The Danny Thomas Show."
-
B.
Rufus Long
Rufus Long is an individual notable enough to be recognized as a prominent bearer of the surname Long.
-
C.
Fred C. Dobbs
Fred C. Dobbs is the desperate, increasingly paranoid prospector at the center of the 1948 film "The Treasure of the Sierra Madre."
-
D.
Mattie Thurmond Peterson Talmadge
Mattie Thurmond Peterson Talmadge was the wife of influential Georgia politician and governor Eugene Talmadge and a member of a prominent Southern political family.
-
E.
Luther Hicks
Luther Hicks is an individual notable enough to be recognized as a distinct namesake of the surname Hicks.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:34 p.m.