Triple
T30821124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: Twice Upon a Time |
E784921
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
The Captain
The Captain is a World War I British army officer who becomes a pivotal historical figure caught up in the First Doctor and Twelfth Doctor’s time-bending adventure in the Doctor Who special "Twice Upon a Time."
|
E1090780
|
NE FINISHED |
How this triple was built (2 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: The Captain | Statement: [Doctor Who: Twice Upon a Time, featuresCharacter, The Captain]
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: The Captain Triple: [Doctor Who: Twice Upon a Time, featuresCharacter, The Captain]
Generated description
The Captain is a World War I British army officer who becomes a pivotal historical figure caught up in the First Doctor and Twelfth Doctor’s time-bending adventure in the Doctor Who special "Twice Upon a Time."
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_69f224b6642481909e8d701de2cd1a53 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ce388819090d5aef25290ad15 |
completed | May 3, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28bbe77368819093b2b9832db29d64 |
completed | June 10, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a28bcbbade88190a0782743d0033602 |
completed | June 10, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28c0d7003881909b928df3a07d09ea |
completed | June 10, 2026, 1:41 a.m. |
Created at: April 29, 2026, 8:44 p.m.