Triple
T9029205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Goeken |
E216125
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Jack Goeken |
E216125
|
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: Jack Goeken | Statement: [Jack Goeken, knownAs, Jack Goeken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Goeken Context triple: [Jack Goeken, knownAs, Jack Goeken]
-
A.
Jack Goeken
chosen
Jack Goeken was an American telecommunications entrepreneur best known for founding MCI Inc., a pioneering long-distance telephone company that helped break AT&T's monopoly.
-
B.
James Heerdegen
James Heerdegen is an American camera technician and dolly grip best known to the public for his former marriage to actress Christina Ricci.
-
C.
Dick Schoof
Dick Schoof is a Dutch civil servant and politician who has served as Prime Minister of the Netherlands.
-
D.
Dick Dusseldorp
Dick Dusseldorp was a Dutch-born Australian businessman and visionary developer best known for building Lendlease into a major international property and infrastructure company.
-
E.
Jon Hoeber
Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9bcb508190b58751f1772407d4 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc289648190834031537c8ce130 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:08 p.m.