Triple
T21993887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smithy |
E543153
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Stacey Shipman |
—
|
NE NERFINISHED |
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: Stacey Shipman | Statement: [Smithy, hasFriend, Stacey Shipman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacey Shipman Context triple: [Smithy, hasFriend, Stacey Shipman]
-
A.
Stacey Shipman
chosen
Stacey Shipman is a central character in the British sitcom "Gavin & Stacey," known for her sweet, bubbly personality and long-distance romance with Gavin Shipman.
-
B.
Stacey Schroeder
Stacey Schroeder is a film editor best known for her work on the biographical comedy-drama "The Disaster Artist."
-
C.
Stacey Harman
Stacey Harman is a screenwriter best known for co-writing the animated feature film "The Smurfs: The Lost Village."
-
D.
Stacey Menear
Stacey Menear is a screenwriter best known for writing the horror film "The Boy" (2016).
-
E.
Stacy Barrett
Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127639bf48190800b3fa3c1527983 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:17 p.m.