Triple
T6383082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 87th Academy Awards |
E143632
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object | Neil Patrick Harris |
E66873
|
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: Neil Patrick Harris | Statement: [87th Academy Awards, host, Neil Patrick Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Patrick Harris Context triple: [87th Academy Awards, host, Neil Patrick Harris]
-
A.
Neil Patrick Harris
chosen
Neil Patrick Harris is an American actor, comedian, and magician best known for his roles in the TV series "How I Met Your Mother" and "Doogie Howser, M.D."
-
B.
Henry Corden
Henry Corden was a Canadian-born American actor and voice actor best known as the voice of Fred Flintstone in later productions of "The Flintstones."
-
C.
Matthew Morrison
Matthew Morrison is an American actor and singer best known for playing teacher Will Schuester on the television series "Glee."
-
D.
Milo Ventimiglia
Milo Ventimiglia is an American actor best known for his roles on the television series "Gilmore Girls," "Heroes," and "This Is Us."
-
E.
Kal Penn
Kal Penn is an American actor and former White House staff member best known for his roles in the "Harold & Kumar" film series and the TV show "House."
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06854eb608190acb6bb4dc466f0fc |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638791ce8819081aeec3b11e1c96e |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:34 p.m.