Triple
T13522729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margene Heffman |
E322939
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Mark V. Olsen |
E396436
|
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: Mark V. Olsen | Statement: [Margene Heffman, creator, Mark V. Olsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark V. Olsen Context triple: [Margene Heffman, creator, Mark V. Olsen]
-
A.
Mark V. Olsen
chosen
Mark V. Olsen is an American television writer and producer best known as the co-creator of the HBO drama series "Big Love."
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Daniel C. Woods
Daniel C. Woods was an early settler and prominent local figure in Utah Territory for whom the city of Woods Cross is named.
-
D.
Brian L. Hinman
Brian L. Hinman is an American technology entrepreneur and executive best known for co-founding multiple communications companies, including Polycom, and pioneering advances in voice and video conferencing.
-
E.
Mark P. McCahill
Mark P. McCahill is an American computer scientist best known for pioneering early internet technologies, including creating the Gopher protocol for distributed document search and retrieval.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa535cc81908d0018fef81a2848 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025e6bc748190b8099e7559569a90 |
completed | May 10, 2026, 6:29 a.m. |
Created at: April 9, 2026, 9:44 p.m.