Triple
T2151959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onward |
E47799
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kori Rae |
E100127
|
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: Kori Rae | Statement: [Onward, producer, Kori Rae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kori Rae Context triple: [Onward, producer, Kori Rae]
-
A.
Kori Rae
chosen
Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
-
B.
Rae
Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
-
C.
Kristanna Loken
Kristanna Loken is an American actress and model best known for her role as the T-X in the film "Terminator 3: Rise of the Machines."
-
D.
Kiana Williams
Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
-
E.
Kailen Sheridan
Kailen Sheridan is a Canadian professional soccer goalkeeper known for her standout performances in the National Women's Soccer League and with the Canada women's national team.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe48ad148190a7d6cc88fd38a660 |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e0e1b481909545e8e6d861adfd |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.