Triple
T11405864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercer |
E270236
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Mercer LLC |
E923923
|
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: Mercer LLC | Statement: [Mercer, alternativeName, Mercer LLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercer LLC Context triple: [Mercer, alternativeName, Mercer LLC]
-
A.
Mercer LLC
chosen
Mercer LLC is a global consulting firm specializing in human resources, health, wealth, and career solutions for organizations and individuals.
-
B.
Dorchester Company
Dorchester Company was a 17th-century English joint-stock company involved in early colonial ventures, particularly in New England.
-
C.
Bell-Mason Group
Bell-Mason Group is a consulting and advisory firm best known for developing the Bell-Mason Diagnostic, a framework for assessing and guiding the growth of technology startups and ventures.
-
D.
Marcus Corporation
Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
-
E.
Meredith Corporation
Meredith Corporation was a major American media and marketing company best known for its portfolio of lifestyle magazines and television broadcasting assets.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b834cee48190ac09c1e1df4c12d0 |
completed | April 20, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:34 p.m.