Triple
T11623094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Grunberg |
E276188
|
entity |
| Predicate | knownForCharacter |
P15030
|
FINISHED |
| Object |
Eric Weiss
Eric Weiss is a loyal and resourceful CIA agent and close friend of the protagonist in the television series "Alias."
|
E957513
|
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: Eric Weiss | Statement: [Greg Grunberg, knownForCharacter, Eric Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Weiss Context triple: [Greg Grunberg, knownForCharacter, Eric Weiss]
-
A.
Eric Weiss
Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
-
B.
Andrew Weiss
Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
-
C.
Rob Weiss
Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
-
D.
Robert Weiss
Robert Weiss is a relatively common personal name shared by multiple individuals across various professions, including the arts, sciences, and public life.
-
E.
Michael Weiss
Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
- 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: Eric Weiss Triple: [Greg Grunberg, knownForCharacter, Eric Weiss]
Generated description
Eric Weiss is a loyal and resourceful CIA agent and close friend of the protagonist in the television series "Alias."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Weiss Target entity description: Eric Weiss is a loyal and resourceful CIA agent and close friend of the protagonist in the television series "Alias."
-
A.
Eric Weiss
Eric Weiss is an actor known for his role in the film adaptation of the young adult novel "Alan & Naomi."
-
B.
Andrew Weiss
Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
-
C.
Rob Weiss
Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
-
D.
Robert Weiss
Robert Weiss is a relatively common personal name shared by multiple individuals across various professions, including the arts, sciences, and public life.
-
E.
Michael Weiss
Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4711f37988190b496640c32c5bc16 |
completed | May 1, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69f47b755f808190acb2fb31473d2405 |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47d8bbae8819088d48b300291ef74 |
completed | May 1, 2026, 10:16 a.m. |
Created at: April 8, 2026, 9:39 p.m.