Triple
T15907975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jess |
E385770
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Harry Burns |
E84774
|
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: Harry Burns | Statement: [Jess, hasFriend, Harry Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Burns Context triple: [Jess, hasFriend, Harry Burns]
-
A.
Harry Burns
chosen
Harry Burns is the witty, neurotic male lead in the romantic comedy film "When Harry Met Sally...".
-
B.
John Spellman
John Spellman was an American Republican politician who served as King County Executive before becoming the 18th governor of Washington state.
-
C.
Bernie Dodd
Bernie Dodd is a driven Broadway director in the film "The Country Girl," whose demanding methods and personal struggles shape the story’s central drama.
-
D.
Hugh Baird
Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
-
E.
Robert Hays
Robert Hays is an American actor best known for his comedic lead role as the nervous pilot Ted Striker in the classic parody film "Airplane!" and its sequel.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.