Triple
T21961511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Rall |
E542341
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tommy Rall |
—
|
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: Tommy Rall | Statement: [Tommy Rall, name, Tommy Rall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Rall Context triple: [Tommy Rall, name, Tommy Rall]
-
A.
Tommy Rall
chosen
Tommy Rall was an American actor and exceptionally skilled dancer best known for his athletic, acrobatic performances in classic Hollywood musicals of the 1950s.
-
B.
Don Emmons
Don Emmons was an American architect best known as a founding partner of the influential modernist firm Wurster, Bernardi and Emmons.
-
C.
Ross Nordeen
Ross Nordeen is a professional associated with xAI, Elon Musk’s artificial intelligence company.
-
D.
Jeb Rosebrook
Jeb Rosebrook was an American screenwriter best known for his work on character-driven Western films and television projects in the 1970s.
-
E.
Bobby Nash
Bobby Nash is a central character on the television drama "9-1-1," serving as the compassionate yet haunted captain of the Los Angeles Fire Department's Station 118.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12455e99c819092ec59fe571f814e |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.