Triple
T3987254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Alliance |
E86902
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Chris Yeh |
E387801
|
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: Chris Yeh | Statement: [The Alliance, author, Chris Yeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Yeh Context triple: [The Alliance, author, Chris Yeh]
-
A.
Chris Yeh
chosen
Chris Yeh is an entrepreneur, investor, and author best known for co-authoring the business strategy book "Blitzscaling" with Reid Hoffman.
-
B.
Aaron Yoo
Aaron Yoo is an American actor known for his supporting roles in films like "Disturbia," "21," and "Nick and Norah's Infinite Playlist," as well as various television appearances.
-
C.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
-
D.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
E.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9ff54708190be56f48569ce97a4 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5402f72e8819097ce951aac465dc8 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.