Triple
T3286834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Columbus |
E69000
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Monica Devereux
Monica Devereux is an American actress and choreographer known for her work in films such as "Adventures in Babysitting" and "Home Alone."
|
E345500
|
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: Monica Devereux | Statement: [Chris Columbus, spouse, Monica Devereux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica Devereux Context triple: [Chris Columbus, spouse, Monica Devereux]
-
A.
Monica Morgan
Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
-
B.
Monica Turner
Monica Turner is an American pediatrician best known for her high-profile marriage to former heavyweight boxing champion Mike Tyson.
-
C.
Monica Helms
Monica Helms is a transgender activist and U.S. Navy veteran best known for creating the transgender pride flag.
-
D.
Monique Stalens
Monique Stalens is a Polish-born French actress and teacher best known as the mother of acclaimed actress Juliette Binoche.
-
E.
Monica Shorter
Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
- 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: Monica Devereux Triple: [Chris Columbus, spouse, Monica Devereux]
Generated description
Monica Devereux is an American actress and choreographer known for her work in films such as "Adventures in Babysitting" and "Home Alone."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monica Devereux Target entity description: Monica Devereux is an American actress and choreographer known for her work in films such as "Adventures in Babysitting" and "Home Alone."
-
A.
Monica Morgan
Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
-
B.
Monica Turner
Monica Turner is an American pediatrician best known for her high-profile marriage to former heavyweight boxing champion Mike Tyson.
-
C.
Monica Helms
Monica Helms is a transgender activist and U.S. Navy veteran best known for creating the transgender pride flag.
-
D.
Monique Stalens
Monique Stalens is a Polish-born French actress and teacher best known as the mother of acclaimed actress Juliette Binoche.
-
E.
Monica Shorter
Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05779d08190a5517951e71b1380 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e85f71508190b194b4d383d7ee32 |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8d165488190bdb6c07257f7502a |
completed | March 12, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecfd3c20819089bc0b2141aee8eb |
completed | March 12, 2026, 4:42 p.m. |
Created at: March 8, 2026, 3:10 p.m.