Triple
T14460968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Lendeborg Jr. |
E358581
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lendeborg
Lendeborg is the surname of Jorge Lendeborg Jr., a Dominican-born American actor known for roles in films like "Spider-Man: Homecoming" and "Bumblebee."
|
E1100905
|
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: Lendeborg | Statement: [Jorge Lendeborg Jr., familyName, Lendeborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lendeborg Context triple: [Jorge Lendeborg Jr., familyName, Lendeborg]
-
A.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
B.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
C.
Lönnbohm
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
-
D.
Randaberg
Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
-
E.
Lohberg
Lohberg is a small Bavarian village in the Bavarian Forest region of Germany, known as a gateway to outdoor activities around the Großer Arber mountain.
- 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: Lendeborg Triple: [Jorge Lendeborg Jr., familyName, Lendeborg]
Generated description
Lendeborg is the surname of Jorge Lendeborg Jr., a Dominican-born American actor known for roles in films like "Spider-Man: Homecoming" and "Bumblebee."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lendeborg Target entity description: Lendeborg is the surname of Jorge Lendeborg Jr., a Dominican-born American actor known for roles in films like "Spider-Man: Homecoming" and "Bumblebee."
-
A.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
B.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
C.
Lönnbohm
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
-
D.
Randaberg
Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
-
E.
Lohberg
Lohberg is a small Bavarian village in the Bavarian Forest region of Germany, known as a gateway to outdoor activities around the Großer Arber mountain.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd65f9f5d88190997c76ba98859471 |
completed | May 8, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66a62da081908226d85d968dbbe6 |
completed | May 8, 2026, 4:29 a.m. |
Created at: April 10, 2026, 1:19 a.m.