Triple
T120033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who |
E2424
|
entity |
| Predicate | spinOff |
P7736
|
FINISHED |
| Object |
Class
Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
|
E12983
|
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: Class | Statement: [Doctor Who, spinOff, Class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Class Context triple: [Doctor Who, spinOff, Class]
-
A.
.cl
.cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
-
B.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
-
C.
KLAX
KLAX is the ICAO code for Los Angeles International Airport, one of the busiest and most important air transport hubs in the United States and the world.
-
D.
OC
OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
-
E.
Claude
Claude is a given name most famously associated with Claude Shannon, the American mathematician and electrical engineer known as the father of information theory.
- 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: Class Triple: [Doctor Who, spinOff, Class]
Generated description
Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Class Target entity description: Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
-
A.
.cl
.cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
-
B.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
-
C.
KLAX
KLAX is the ICAO code for Los Angeles International Airport, one of the busiest and most important air transport hubs in the United States and the world.
-
D.
OC
OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
-
E.
Claude
Claude is a given name most famously associated with Claude Shannon, the American mathematician and electrical engineer known as the father of information theory.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25b816dbc8190b20e13c80a451e6b |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917de638819087f7c16d21963c63 |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a295bbc23c81908194d6f4bea4fcd4 |
completed | Feb. 28, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2968bffd881908147c66838776fef |
completed | Feb. 28, 2026, 7:17 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.