Triple
T9999450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Phillips |
E197285
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Maersk Line |
E455778
|
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: Maersk Line | Statement: [Richard Phillips, employer, Maersk Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maersk Line Context triple: [Richard Phillips, employer, Maersk Line]
-
A.
Mediterranean Shipping Company
Mediterranean Shipping Company is one of the world’s largest container shipping lines, operating a vast global fleet and network of maritime trade routes.
-
B.
A.P. Møller – Mærsk
chosen
A.P. Møller – Mærsk is a Danish multinational conglomerate best known as one of the world’s largest container shipping and logistics companies.
-
C.
K Line
K Line is a light rail route in the Los Angeles Metro Rail system serving neighborhoods in South Los Angeles and connecting to key transit hubs.
-
D.
Sea-Land Service, Inc.
Sea-Land Service, Inc. was a pioneering American container shipping company that played a key role in the development and commercialization of modern intermodal containerization in global trade.
-
E.
Norddeutscher Lloyd
Norddeutscher Lloyd was a major German shipping company based in Bremen, renowned for its transatlantic passenger and cargo services from the mid-19th to the mid-20th century.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8dc9c081909b6d20909ada09cf |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2584bd6cc8190841353847dd2f00c |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.