Triple
T912258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Renaissance drama |
E19686
|
entity |
| Predicate | notablePlaywright |
P10455
|
FINISHED |
| Object |
Thomas Dekker
Thomas Dekker was an English Renaissance dramatist and pamphleteer best known for his lively city comedies and vivid depictions of London life.
|
E108648
|
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: Thomas Dekker | Statement: [English Renaissance drama, notablePlaywright, Thomas Dekker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Dekker Context triple: [English Renaissance drama, notablePlaywright, Thomas Dekker]
-
A.
Jan de Baen
Jan de Baen was a 17th-century Dutch portrait painter renowned for his depictions of prominent political and social figures of the Dutch Golden Age.
-
B.
Andrew Davies
Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
-
C.
Eoin Colfer
Eoin Colfer is an Irish author best known for creating the popular Artemis Fowl series of children's fantasy novels.
-
D.
Alan Webber
Alan Webber is an American politician and former business magazine co-founder who serves as the mayor of Santa Fe, New Mexico.
-
E.
Jim Holland
Jim Holland is the husband of Zimbabwean politician and human rights activist Sekai Holland.
- 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: Thomas Dekker Triple: [English Renaissance drama, notablePlaywright, Thomas Dekker]
Generated description
Thomas Dekker was an English Renaissance dramatist and pamphleteer best known for his lively city comedies and vivid depictions of London life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Dekker Target entity description: Thomas Dekker was an English Renaissance dramatist and pamphleteer best known for his lively city comedies and vivid depictions of London life.
-
A.
Jan de Baen
Jan de Baen was a 17th-century Dutch portrait painter renowned for his depictions of prominent political and social figures of the Dutch Golden Age.
-
B.
Andrew Davies
Andrew Davies is a renowned British screenwriter celebrated for his acclaimed television adaptations of classic literature, including numerous works by Jane Austen.
-
C.
Eoin Colfer
Eoin Colfer is an Irish author best known for creating the popular Artemis Fowl series of children's fantasy novels.
-
D.
Alan Webber
Alan Webber is an American politician and former business magazine co-founder who serves as the mayor of Santa Fe, New Mexico.
-
E.
Jim Holland
Jim Holland is the husband of Zimbabwean politician and human rights activist Sekai Holland.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2df9ba88190824437026796586f |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf5e59588190b9d2bb00adf5c871 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7d037e4608190a898b872cc3bfd8d |
completed | March 4, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d0b60f6881908060455f4a9b4ec6 |
completed | March 4, 2026, 6:27 a.m. |
Created at: March 1, 2026, 7:39 p.m.