Triple
T9695465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Lang |
E234637
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object |
Kurt
Kurt is a close associate of Scott Lang in the Marvel universe, known as one of his quirky ex-con partners in crime and heists.
|
E815842
|
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: Kurt | Statement: [Scott Lang, friend, Kurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Context triple: [Scott Lang, friend, Kurt]
-
A.
Kurt
Kurt is a given name most famously associated with the logician and mathematician Kurt Gödel.
-
B.
Kurt Christian
Kurt Christian is a British actor best known for his roles in 1970s fantasy and adventure films, particularly in Ray Harryhausen–associated productions.
-
C.
Kurt Weiss
Kurt Weiss is an individual notable enough to be recognized as a namesake of the surname Weiss, though specific widely known biographical details are not clearly established.
-
D.
Kurt Back
Kurt Back was a social psychologist known for his collaborative research in social behavior and group dynamics, including work with Leon Festinger.
-
E.
Karl
Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
- 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: Kurt Triple: [Scott Lang, friend, Kurt]
Generated description
Kurt is a close associate of Scott Lang in the Marvel universe, known as one of his quirky ex-con partners in crime and heists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kurt Target entity description: Kurt is a close associate of Scott Lang in the Marvel universe, known as one of his quirky ex-con partners in crime and heists.
-
A.
Kurt
Kurt is a given name most famously associated with the logician and mathematician Kurt Gödel.
-
B.
Kurt Christian
Kurt Christian is a British actor best known for his roles in 1970s fantasy and adventure films, particularly in Ray Harryhausen–associated productions.
-
C.
Kurt Weiss
Kurt Weiss is an individual notable enough to be recognized as a namesake of the surname Weiss, though specific widely known biographical details are not clearly established.
-
D.
Kurt Back
Kurt Back was a social psychologist known for his collaborative research in social behavior and group dynamics, including work with Leon Festinger.
-
E.
Karl
Karl is the given first name of Charles Proteus Steinmetz, the renowned German-American mathematician and electrical engineer who revolutionized the understanding of alternating current systems.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d366c488190bc153c68fef197c2 |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912216d481909f6a0f977d570a93 |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d1926e9154819086be60bd6fa55453 |
completed | April 4, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19611bbe08190b1893727c1fa05ce |
completed | April 4, 2026, 10:52 p.m. |
Created at: March 30, 2026, 8:17 p.m.