Triple
T11886695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Johnson |
E282801
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Steve Bartlett |
E74930
|
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: Steve Bartlett | Statement: [Sam Johnson, precededBy, Steve Bartlett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Bartlett Context triple: [Sam Johnson, precededBy, Steve Bartlett]
-
A.
Steve Bartlett
chosen
Steve Bartlett is an American politician and businessman best known for serving as the mayor of Dallas, Texas, in the early 1990s.
-
B.
David Barbour
David Barbour is a television producer and creator best known for developing the Australian reality renovation series "The Block."
-
C.
Bob Bartlett
Bob Bartlett was a prominent Alaskan political leader and advocate for statehood who became one of Alaska’s first U.S. senators.
-
D.
Sy Bartlett
Sy Bartlett was an American screenwriter and film producer best known for co-writing and producing the World War II drama "Twelve O'Clock High."
-
E.
Mike Colbert
Mike Colbert is a former American football linebacker who played in the National Football League.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a13370819086386fecb99e4f0b |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417da310c8190aa04df2a316a5dd0 |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:44 p.m.