Triple
T690961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Harden |
E13390
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harden |
E69894
|
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: Harden | Statement: [James Harden, familyName, Harden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harden Context triple: [James Harden, familyName, Harden]
-
A.
Harden
chosen
Harden is a small rural town in the Riverina region of New South Wales, Australia, known historically as a railway and agricultural service centre.
-
B.
Aldridge
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
C.
Bryant
Bryant is the middle name of James B. Conant, the influential American chemist, educator, and president of Harvard University.
-
D.
Durant
Durant is a surname most famously associated with William C. Durant, the pioneering American automobile magnate who co-founded General Motors.
-
E.
Carmelo
Carmelo is a masculine given name most prominently associated with former NBA star Carmelo Anthony.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0aebde88190a49d421477713103 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca5b2688190bfe05a165c753211 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.