Triple
T15908119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Stern |
E385774
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Marv Merchants
Marv Merchants is one of the bumbling burglar antagonists, known as a member of the "Wet Bandits," in the Home Alone film series.
|
E861745
|
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: Marv Merchants | Statement: [Daniel Stern, characterPortrayed, Marv Merchants]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marv Merchants Context triple: [Daniel Stern, characterPortrayed, Marv Merchants]
-
A.
Marv Won
Marv Won is a Detroit-based underground hip-hop artist and producer known for his sharp lyricism and battle rap pedigree.
-
B.
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.
-
C.
Marv
Marv is a masculine given name, often used as a shortened form of Marvin.
-
D.
Marv Rich
Marv Rich was a civil rights activist best known for helping establish the Congress of Racial Equality, a key organization in the U.S. civil rights movement.
-
E.
MARV
MARV is a British film and television production company founded by producer Matthew Vaughn, known for movies such as "Kick-Ass," "Kingsman," and "Layer Cake."
- 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: Marv Merchants Triple: [Daniel Stern, characterPortrayed, Marv Merchants]
Generated description
Marv Merchants is one of the bumbling burglar antagonists, known as a member of the "Wet Bandits," in the Home Alone film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marv Merchants Target entity description: Marv Merchants is one of the bumbling burglar antagonists, known as a member of the "Wet Bandits," in the Home Alone film series.
-
A.
Marv Won
Marv Won is a Detroit-based underground hip-hop artist and producer known for his sharp lyricism and battle rap pedigree.
-
B.
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.
-
C.
Marv
chosen
Marv is a masculine given name, often used as a shortened form of Marvin.
-
D.
Marv Rich
Marv Rich was a civil rights activist best known for helping establish the Congress of Racial Equality, a key organization in the U.S. civil rights movement.
-
E.
MARV
MARV is a British film and television production company founded by producer Matthew Vaughn, known for movies such as "Kick-Ass," "Kingsman," and "Layer Cake."
- F. None of above.
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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.