Triple
T13425191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthropic |
E313461
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Jared Kaplan |
E497594
|
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: Jared Kaplan | Statement: [Anthropic, foundedBy, Jared Kaplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jared Kaplan Context triple: [Anthropic, foundedBy, Jared Kaplan]
-
A.
Jared Kaplan
chosen
Jared Kaplan is a theoretical physicist and AI researcher known for his work on deep learning scaling laws and contributions to large language model development.
-
B.
Jared Stern
Jared Stern is an American screenwriter, producer, and director known for his work on animated films such as DC League of Super-Pets and contributions to various family-oriented comedies.
-
C.
Jared Kleinman
Jared Kleinman is a sarcastic, tech-savvy high school student who serves as comic relief and a reluctant accomplice in the musical "Dear Evan Hansen."
-
D.
Joshua Edelman
Joshua Edelman is a jazz pianist and composer known for his work blending traditional jazz with Latin and world music influences.
-
E.
Matthew Kaplan
Matthew Kaplan is a film producer best known for his work on young adult and genre projects, including the adaptation of the novel "Before I Fall."
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed066408190a416880affd8416e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba16b948190b7e753368eabf012 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:40 p.m.