Triple
T12997466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Van Der Beek |
E322076
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object |
vanderjames
vanderjames is the Twitter username of actor James Van Der Beek, best known for starring as Dawson Leery on the television series "Dawson's Creek."
|
E1016396
|
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: vanderjames | Statement: [James Van Der Beek, twitterUsername, vanderjames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: vanderjames Context triple: [James Van Der Beek, twitterUsername, vanderjames]
-
A.
Vischer
Vischer is a German family name most notably associated with the Nuremberg-based family of Renaissance sculptors, including Peter Vischer the Elder.
-
B.
Vinzons
Vinzons is a coastal municipality in the province of Camarines Norte in the Bicol Region of the Philippines, known for its agricultural economy and access to nearby island beaches.
-
C.
Visscher
Visscher is a Dutch family name historically associated with prominent 17th-century mapmakers and printmakers from Amsterdam.
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Veltman
Veltman is a Dutch surname most notably associated with physicist Martinus Veltman, a Nobel laureate recognized for his work in particle physics.
- 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: vanderjames Triple: [James Van Der Beek, twitterUsername, vanderjames]
Generated description
vanderjames is the Twitter username of actor James Van Der Beek, best known for starring as Dawson Leery on the television series "Dawson's Creek."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: vanderjames Target entity description: vanderjames is the Twitter username of actor James Van Der Beek, best known for starring as Dawson Leery on the television series "Dawson's Creek."
-
A.
Vischer
Vischer is a German family name most notably associated with the Nuremberg-based family of Renaissance sculptors, including Peter Vischer the Elder.
-
B.
Vinzons
Vinzons is a coastal municipality in the province of Camarines Norte in the Bicol Region of the Philippines, known for its agricultural economy and access to nearby island beaches.
-
C.
Visscher
Visscher is a Dutch family name historically associated with prominent 17th-century mapmakers and printmakers from Amsterdam.
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Veltman
Veltman is a Dutch surname most notably associated with physicist Martinus Veltman, a Nobel laureate recognized for his work in particle physics.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fe9d608190b9d503f4da1fe0c0 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c3beaf6881909be9c839206817b3 |
completed | May 3, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c48ee33c8190a50b308b12c08951 |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 9, 2026, 8:45 p.m.