Triple
T9316428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Leonard Smith |
E224132
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Stan Smith |
E24163
|
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: Stan Smith | Statement: [Stanford Leonard Smith, alias, Stan Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Smith Context triple: [Stanford Leonard Smith, alias, Stan Smith]
-
A.
Stan Smith
chosen
Stan Smith is the ultra-patriotic, often clueless CIA agent and main character of the animated television series "American Dad!"
-
B.
Joe Smith
Joe Smith is a former American professional basketball player and 1995 NBA first overall draft pick who starred as a forward at the University of Maryland.
-
C.
William Kellie Smith
William Kellie Smith was a Scottish planter and businessman in British Malaya, best known for commissioning the unfinished Kellie’s Castle in Perak, Malaysia.
-
D.
Michael Thorpe
Michael Thorpe is a relatively obscure individual whose specific public achievements or distinguishing characteristics are not widely documented.
-
E.
Rip Smith
Rip Smith is the protagonist of the 1947 film "Magic Town," portrayed as a pollster whose discovery of a statistically "average" American town leads to unexpected social and personal consequences.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd35899b9081908bb0c310cc25722f |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7b73ff881909e936374fd90a822 |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:37 p.m.