Triple
T17010609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Reynolds |
E412687
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goodspeed |
E839300
|
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: Goodspeed | Statement: [Marjorie Reynolds, familyName, Goodspeed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodspeed Context triple: [Marjorie Reynolds, familyName, Goodspeed]
-
A.
Goodspeed
chosen
Goodspeed is the surname of Dr. Stanley Goodspeed, a fictional FBI chemical weapons specialist portrayed by Nicolas Cage in the action film "The Rock."
-
B.
Quickway
Quickway is a major limited-access highway corridor in New York State that carries much of the traffic of NY Route 17 and forms a key east–west route across the southern part of the state.
-
C.
Vitesse
Vitesse is a professional Dutch football club based in Arnhem that competes in the country's top leagues and European competitions.
-
D.
Speedco
Speedco is a chain of quick-service commercial truck lube and tire service centers in the United States, catering primarily to professional drivers and fleet operators.
-
E.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47bcb508190a799f0bad6b70245 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:33 a.m.