Triple
T10966557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harding |
E259114
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Harding |
E658419
|
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: John Harding | Statement: [Harding, hasNotableBearer, John Harding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Harding Context triple: [Harding, hasNotableBearer, John Harding]
-
A.
John Harding
chosen
John Harding is an actor known for appearing in the classic comedy film "Please Don’t Eat the Daisies."
-
B.
Josh Hutcherson
Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
-
C.
Garrett Hedlund
Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
-
D.
Wes Bentley
Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
-
E.
Nicholas Woodeson
Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77149c0448190a66322fa696fdbda |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d78156c48190a956dc22b9832bcb |
completed | April 18, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.