Triple
T16442321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemba Walker |
E399334
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Walker |
E186941
|
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: Walker | Statement: [Kemba Walker, familyName, Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walker Context triple: [Kemba Walker, familyName, Walker]
-
A.
Walker
chosen
Walker is a common English surname borne by numerous notable individuals across fields such as politics, sports, the arts, and civil rights leadership.
-
B.
Walker
Walker is a small city located in Vernon County in the western part of the U.S. state of Missouri.
-
C.
Walker
Walker is a 1987 satirical historical film directed by Alex Cox that portrays the controversial 19th-century American mercenary William Walker and critiques U.S. interventionism.
-
D.
Blake
Blake is a given name and surname used in English-speaking countries for people of any gender.
-
E.
Tick Wills
Tick Wills is a seasoned boxing trainer and mentor who helps guide fighter Billy Hope through a critical comeback in the film "Southpaw."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba91dc48190bc35db60f63d36d3 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.