Triple
T23204507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Jenkins |
E580412
|
entity |
| Predicate | hasNameComponent |
P24447
|
FINISHED |
| Object | Harry |
—
|
NE NERFINISHED |
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: Harry | Statement: [Harry Jenkins, hasNameComponent, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Harry Jenkins, hasNameComponent, Harry]
-
A.
Harry
Harry is the given name of Harry F. Byrd Sr., a prominent 20th-century American politician and long-serving U.S. Senator from Virginia.
-
B.
Harry
Harry is the given name of Harry Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
-
C.
Harry
Harry is the young wizard protagonist of J.K. Rowling's Harry Potter series, known for surviving Voldemort's attack and attending Hogwarts School of Witchcraft and Wizardry.
-
D.
Harry
Harry is a fictional character who appears in the narrative of "The Collection."
-
E.
Harry
Harry is the given name of Harry K. Thaw, the American millionaire best known for his 1906 murder of architect Stanford White in a scandalous crime of passion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.