Triple
T4809393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silas Randall Timberlake |
E107028
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Randall |
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: Randall | Statement: [Silas Randall Timberlake, middleName, Randall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randall Context triple: [Silas Randall Timberlake, middleName, Randall]
-
A.
Randall
chosen
Randall is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
B.
Randy Randall
Randy Randall is an American guitarist best known as one half of the noise rock duo No Age.
-
C.
Randy
Randy is a supporting character in the dark comedy film "The Opposite of Sex," involved in the tangled romantic and emotional conflicts that drive the story.
-
D.
Randall Pearson
Randall Pearson is a central character in the television drama "This Is Us," known for his complex journey with identity, family, and anxiety as an adopted member of the Pearson family.
-
E.
Randal
Randal is the given first name of American politician and physician Rand Paul.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c6c70a88190aa287fc78716c225 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4da6a9b4819083706381a57e2c73 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:23 p.m.