Triple
T22826692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrison |
E565678
|
entity |
| Predicate | hasComponent |
P35
|
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: [Harrison, hasComponent, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Harrison, hasComponent, Harry]
-
A.
Harry
Harry is the given first name of Roy Halladay, the late Hall of Fame Major League Baseball pitcher renowned for his dominance with the Toronto Blue Jays and Philadelphia Phillies.
-
B.
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.
-
C.
Harry
Harry is the introspective, regretful writer who reflects on his wasted potential and failed relationships while facing death in Ernest Hemingway’s short story "The Snows of Kilimanjaro."
-
D.
Harry
Harry is the gentle, friendly Bigfoot creature who becomes part of a suburban family in the comedy film "Harry and the Hendersons."
-
E.
Harry
Harry is a character who appears in Act III of the work, playing a role in the later developments of its plot.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2832b8819091c1dfd2cd598b90 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.