Triple
T6330030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Shannon |
E141954
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Waco |
E97168
|
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: Waco | Statement: [Michael Shannon, notableWork, Waco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waco Context triple: [Michael Shannon, notableWork, Waco]
-
A.
Waco, Texas
chosen
Waco, Texas is a central Texas city known for being home to Baylor University and its prominent collegiate athletic programs.
-
B.
Waco Center
The Waco Center is a multi-purpose athletic and events arena at Glenville State College that serves as the primary venue for the school's men's basketball games.
-
C.
Wichita Falls, Texas
Wichita Falls, Texas is a mid-sized city in northern Texas known for its oil and gas history, military presence at Sheppard Air Force Base, and role as a regional economic and cultural center.
-
D.
Kerrville
Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
-
E.
Lubbock
Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6041aac948190ad7dd4d5683903ed |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.