Triple
T7316917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deran Cody |
E168436
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Deran
Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
|
E657154
|
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: Deran | Statement: [Deran Cody, givenName, Deran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deran Context triple: [Deran Cody, givenName, Deran]
-
A.
Darbenai
Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
-
B.
Derisha
Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
-
C.
Dahegam
Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
-
D.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
-
E.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
- 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: Deran Triple: [Deran Cody, givenName, Deran]
Generated description
Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deran Target entity description: Deran is a masculine given name used in various cultures, sometimes as a variant of names like Darren or Doran.
-
A.
Darbenai
Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
-
B.
Derisha
Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
-
C.
Dahegam
Dahegam is a town in the Indian state of Gujarat known for its local commerce and role as a regional hub within the Gandhinagar area.
-
D.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
-
E.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef162d488190bf1c63b71b20a294 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef3b1c48190ae65a136121b39cb |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef95787c819086684c4286166b43 |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0644ebc8190971075d75e3a76d0 |
completed | March 28, 2026, 3:14 p.m. |
Created at: March 27, 2026, 3:02 p.m.