Triple
T1299853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaMarcus Aldridge |
E27736
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aldridge |
E40974
|
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: Aldridge | Statement: [LaMarcus Aldridge, familyName, Aldridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldridge Context triple: [LaMarcus Aldridge, familyName, Aldridge]
-
A.
Aldridge
chosen
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
B.
Landry
Landry is a surname most famously associated with Tom Landry, the legendary longtime head coach of the Dallas Cowboys in the National Football League.
-
C.
McClymonds
McClymonds is a public high school in West Oakland, California, known for its strong athletic tradition and deep roots in the local community.
-
D.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
E.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacc631b88190853948eeb5f24527 |
completed | March 7, 2026, 10:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.