Triple
T4809408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silas Randall Timberlake |
E107028
|
entity |
| Predicate | hasParentCelebrityStatus |
P37703
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Silas Randall Timberlake, hasParentCelebrityStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentCelebrityStatus Context triple: [Silas Randall Timberlake, hasParentCelebrityStatus, true]
-
A.
isChildOfPublicFigure
chosen
Indicates that one person is the offspring or child of another person who is recognized as a public figure.
-
B.
hasParentWhoIsMusician
Indicates that an entity has at least one parent who works as or is identified as a musician.
-
C.
parentageIncludes
Indicates that a given parentage or lineage set contains or encompasses a particular parent or ancestral relationship.
-
D.
hasParentCharacter
Indicates that one character is the parent of another character.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- F. None of above.
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_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.