Triple
T11009078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down to Earth (1947 film) |
E260199
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mr. Jordan |
E310097
|
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: Mr. Jordan | Statement: [Down to Earth (1947 film), character, Mr. Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Jordan Context triple: [Down to Earth (1947 film), character, Mr. Jordan]
-
A.
Mr. Jordan
chosen
Mr. Jordan is the suave, otherworldly celestial messenger character famously played by Claude Rains in the classic film "Here Comes Mr. Jordan."
-
B.
Mr. Jackson
Mr. Jackson is a messy, intrusive toad character in Beatrix Potter’s children’s story "The Tale of Mrs. Tittlemouse."
-
C.
Ralph Jordan
Ralph Jordan was a longtime Auburn University football coach and athletic figure whose legacy is commemorated in the naming of Jordan–Hare Stadium.
-
D.
Tom Jordan
Tom Jordan is the central protagonist of the 1962 political thriller film "Guns of Darkness," around whom the story’s tense escape and survival plot revolves.
-
E.
Mr. Porter
Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37498b9fc8190860acede4f49ea4a |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.