Triple
T2487872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall |
E55969
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Rand |
E55969
|
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: Rand | Statement: [Randall, hasShortForm, Rand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rand Context triple: [Randall, hasShortForm, Rand]
-
A.
Random
Random is a Julia standard library module that provides functionality for generating and manipulating random numbers and random processes.
-
B.
Ren
Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
-
C.
Randall
chosen
Randall is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
D.
Random Dent
Random Dent is a character in Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series, known as the daughter of Arthur Dent and Trillian.
-
E.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd179c44881909cd6c7626cadaf10 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17bca6f88190a63672fb3372f0be |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.