Triple
T14217418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Fraser |
E352391
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Lip Service |
E1088716
|
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: Lip Service | Statement: [Laura Fraser, appearedIn, Lip Service]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lip Service Context triple: [Laura Fraser, appearedIn, Lip Service]
-
A.
Lip Service
chosen
Lip Service is a British television drama series centered on the lives and relationships of a group of lesbian women in Glasgow.
-
B.
Slip of the Lip
"Slip of the Lip" is a song by the American glam metal band Ratt, featured on their 1986 album "Dancing Undercover."
-
C.
A Mouthful
A Mouthful is the debut studio album by French-Finnish indie pop band The Dø, blending experimental pop, folk, and rock elements.
-
D.
No Manners
"No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
-
E.
Hot Lips
Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6210213481908fac6893e8a9f143 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324d66a48190b58f6ce3a7c7facc |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:06 a.m.