Triple
T12545123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Starr |
E299941
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Starr |
E601832
|
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: Starr | Statement: [Ken Starr, familyName, Starr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starr Context triple: [Ken Starr, familyName, Starr]
-
A.
Starr
chosen
Starr is a surname most notably associated with individuals such as American musician Mike Starr, the original bassist for the rock band Alice in Chains.
-
B.
Steinman
Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
-
C.
Stalle
Stalle is a neighborhood within the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
D.
Stevie
Stevie is a biographical film about British poet and playwright Stevie Smith, adapted from Hugh Whitemore’s play and starring Glenda Jackson in the title role.
-
E.
Stevie
Stevie is a compassionate yet troubled supporting character in the psychological thriller film "The Machinist," who becomes emotionally entangled with the insomniac protagonist Trevor Reznik.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547f9a1c81908f54c58a116a8446 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655801cac8190b1f9a72f8fed0399 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.