Triple
T3193270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Patrick Harris |
E66873
|
entity |
| Predicate | hosted |
P2777
|
FINISHED |
| Object | Tony Awards |
E3842
|
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: Tony Awards | Statement: [Neil Patrick Harris, hosted, Tony Awards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Awards Context triple: [Neil Patrick Harris, hosted, Tony Awards]
-
A.
Tony Award
chosen
The Tony Award is a prestigious American honor recognizing excellence in live Broadway theatre.
-
B.
Drama Desk Award
The Drama Desk Award is a prestigious New York theater honor recognizing outstanding achievements in Broadway, Off-Broadway, and Off-Off-Broadway productions.
-
C.
Obie Award
The Obie Award is an American theater honor recognizing excellence in off-Broadway and off-off-Broadway productions.
-
D.
Tony Award for Excellence in Theatre
The Tony Award for Excellence in Theatre is a special honor recognizing outstanding contributions to the American theatre industry beyond the traditional competitive Tony Award categories.
-
E.
Lucille Lortel Award
The Lucille Lortel Award is a prestigious honor recognizing outstanding achievement in Off-Broadway theatre in New York City.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada713bf0c81908f3143f45f63a5ad |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276fbb7c481909097f5af619e45f4 |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:07 p.m.