Triple
T6499646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Marty |
E148851
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Marty
Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
|
E600348
|
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: Marty | Statement: [André Marty, familyName, Marty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marty Context triple: [André Marty, familyName, Marty]
-
A.
Marty
Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
-
B.
Marty
Marty is a common diminutive form of the given name Martha.
-
C.
Marty Quinn
Marty Quinn is an American politician known for serving as a Democratic member of the Chicago City Council representing the 13th Ward.
-
D.
Marty Byrde
Marty Byrde is the financially savvy but morally conflicted Chicago accountant-turned-money launderer at the center of the crime drama series "Ozark."
-
E.
Marv
Marv is an ancient city in present-day Turkmenistan that was a major Silk Road hub and one of the great cultural and commercial centers of the Islamic world.
- 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: Marty Triple: [André Marty, familyName, Marty]
Generated description
Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marty Target entity description: Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
-
A.
Marty
Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
-
B.
Marty
Marty is a common diminutive form of the given name Martha.
-
C.
Marty Quinn
Marty Quinn is an American politician known for serving as a Democratic member of the Chicago City Council representing the 13th Ward.
-
D.
Marty Byrde
Marty Byrde is the financially savvy but morally conflicted Chicago accountant-turned-money launderer at the center of the crime drama series "Ozark."
-
E.
Marv
Marv is an ancient city in present-day Turkmenistan that was a major Silk Road hub and one of the great cultural and commercial centers of the Islamic world.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad1c46c819089db43e7c3a8d160 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb1f649c8190bcc26f15d7a4faca |
completed | March 27, 2026, 6:23 p.m. |
| NEDg | Description generation | batch_69c6cd03c56c8190a0e7c69597ab8c83 |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cdfc23988190a4062abbcc312cb4 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:42 p.m.