Triple
T15690033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Menken |
E380303
|
entity |
| Predicate | clientOf |
P35093
|
FINISHED |
| Object | Sterling Cooper |
E920601
|
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: Sterling Cooper | Statement: [Rachel Menken, clientOf, Sterling Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sterling Cooper Context triple: [Rachel Menken, clientOf, Sterling Cooper]
-
A.
Sterling Cooper
chosen
Sterling Cooper is a fictional 1960s Madison Avenue advertising agency at the center of the television series "Mad Men."
-
B.
Ogilvy
Ogilvy is a prominent British surname historically associated with Scottish nobility and, through Marina Ogilvy, with the extended family of the British royal household.
-
C.
J. Walter Thompson Worldwide
J. Walter Thompson Worldwide is one of the oldest and most influential global advertising agencies, known for pioneering many modern advertising practices and campaigns.
-
D.
Caplin & Drysdale
Caplin & Drysdale is a prominent Washington, D.C.–based law firm known for its expertise in tax, bankruptcy, and political law.
-
E.
Ogilvy & Mather
Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.