Triple
T3845578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Ross |
E93560
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Freeman Meskimen
Freeman Meskimen was an American actor and the husband of actress Marion Ross.
|
E393411
|
NE FINISHED |
How this triple was built (4 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: Freeman Meskimen | Statement: [Marion Ross, spouse, Freeman Meskimen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freeman Meskimen Context triple: [Marion Ross, spouse, Freeman Meskimen]
-
A.
Freeman
Freeman is the individual after whom the Freeman Scholar Award is named, recognized for significant contributions in their field that inspired the creation of this honor.
-
B.
Freeman
Freeman Dyson was a renowned theoretical physicist and mathematician known for his work in quantum electrodynamics, solid-state physics, and futurist writings.
-
C.
Freeman
Freeman is a common English surname borne by numerous notable individuals, including acclaimed American actor and narrator Morgan Freeman.
-
D.
Cyrus Griffin
Cyrus Griffin was an American lawyer, judge, and politician who served as the last president of the Continental Congress before the adoption of the U.S. Constitution.
-
E.
Cyrus Voris
Cyrus Voris is an American screenwriter and producer best known for co-writing films like "Bulletproof Monk" and co-creating the television series "Sleeper Cell."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Freeman Meskimen Triple: [Marion Ross, spouse, Freeman Meskimen]
Generated description
Freeman Meskimen was an American actor and the husband of actress Marion Ross.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freeman Meskimen Target entity description: Freeman Meskimen was an American actor and the husband of actress Marion Ross.
-
A.
Freeman
Freeman is the individual after whom the Freeman Scholar Award is named, recognized for significant contributions in their field that inspired the creation of this honor.
-
B.
Freeman
Freeman Dyson was a renowned theoretical physicist and mathematician known for his work in quantum electrodynamics, solid-state physics, and futurist writings.
-
C.
Freeman
Freeman is a common English surname borne by numerous notable individuals, including acclaimed American actor and narrator Morgan Freeman.
-
D.
Cyrus Griffin
Cyrus Griffin was an American lawyer, judge, and politician who served as the last president of the Continental Congress before the adoption of the U.S. Constitution.
-
E.
Cyrus Voris
Cyrus Voris is an American screenwriter and producer best known for co-writing films like "Bulletproof Monk" and co-creating the television series "Sleeper Cell."
- F. None of above. chosen
Provenance (5 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504122cb08190ba97ce14e8d891fc |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504a31de08190b543549a2b05b038 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5084c8bd48190b7afc80bed196c90 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:18 p.m.