Triple
T5320319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith family (Meet Me in St. Louis) |
E121656
|
entity |
| Predicate | hasFamilyMember |
P7844
|
FINISHED |
| Object | Alonzo Smith |
E513664
|
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: Alonzo Smith | Statement: [Smith family (Meet Me in St. Louis), hasFamilyMember, Alonzo Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alonzo Smith Context triple: [Smith family (Meet Me in St. Louis), hasFamilyMember, Alonzo Smith]
-
A.
Alonzo Smith
chosen
Alonzo Smith is the husband of Mrs. Anna Smith, known primarily in relation to her.
-
B.
Allen George
Allen George is a writer best known for his work on the film "Fade."
-
C.
Jackson Graham
Jackson Graham was an American civil engineer and U.S. Army officer who became the first general manager of the Washington Metropolitan Area Transit Authority (WMATA).
-
D.
Earl Thomas
Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
-
E.
Earl Williams
Earl Williams is a pivotal accused murderer whose case drives the fast-paced newsroom drama and darkly comic chaos in the play "The Front Page."
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8574c4b48190a0513ce59eedb564 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf290bb4148190b6f98fcd36d03c02 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:59 p.m.