Triple
T11762086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Your Feet! |
E279680
|
entity |
| Predicate | bookBy |
P2353
|
FINISHED |
| Object | Alexander Dinelaris |
E285425
|
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: Alexander Dinelaris | Statement: [On Your Feet!, bookBy, Alexander Dinelaris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Dinelaris Context triple: [On Your Feet!, bookBy, Alexander Dinelaris]
-
A.
Alexander Dinelaris Jr.
chosen
Alexander Dinelaris Jr. is an American screenwriter, playwright, and producer best known for co-writing the Academy Award-winning film "Birdman or (The Unexpected Virtue of Ignorance)."
-
B.
Alexander Gann
Alexander Gann is a molecular biologist and science editor known for his work on genetics and for co-authoring influential textbooks in molecular biology.
-
C.
Andrei Sator
Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
-
D.
Aleksin
Aleksin is a historic town and industrial center located on the Oka River in Tula Oblast, Russia.
-
E.
Nicolas Daragon
Nicolas Daragon is a French politician who serves as the mayor of the city of Valence in southeastern France.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a4be7c481908deab31f2ee20e0c |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.