Triple
T13289222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Grant |
E316522
|
entity |
| Predicate | coAuthorOf |
P2389
|
FINISHED |
| Object | Option B |
E1033026
|
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: Option B | Statement: [Adam Grant, coAuthorOf, Option B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Option B Context triple: [Adam Grant, coAuthorOf, Option B]
-
A.
Option B
chosen
Option B is a 2017 nonfiction book by Sheryl Sandberg and Adam Grant that explores how people cope with adversity, build resilience, and rediscover joy after life-altering setbacks.
-
B.
OPT
OPT is a family of open-source large language models developed by Meta AI, designed as efficient, GPT-style transformer models for natural language processing tasks.
-
C.
B
B is the vehicle registration code used on license plates for vehicles registered in Borsod-Abaúj-Zemplén County in Hungary.
-
D.
B
B is the vehicle registration code used on license plates for Berlin, Germany.
-
E.
B
B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99076aeec8190b0cb883ab60d3f6b |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266832a881909403c4d3cbe1edec |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:27 p.m.