Triple
T17309292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twigs |
E420248
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Laura Good |
E1261927
|
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: Laura Good | Statement: [The Twigs, hasMember, Laura Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Good Context triple: [The Twigs, hasMember, Laura Good]
-
A.
Laura Good
chosen
Laura Good is the sibling of Linda Good, likely sharing a close familial and personal connection with her.
-
B.
Laura Leslie Dick
Laura Leslie Dick is a member of the Dick family, known primarily as the sister of television producer and Philip K. Dick estate executor Isa Dick Hackett.
-
C.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
D.
Kimberly Caldwell
Kimberly Caldwell is an American singer, television host, and actress who gained national recognition as a standout contestant on the second season of American Idol.
-
E.
Laura Eastman
Laura Eastman is a member of the Eastman family, known for its connections to prominent figures in the music and entertainment industry.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439970cf08190bc9e49ba830da0d9 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c440c58819084792fcd6b7a7a79 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.