Triple
T11171798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smoke |
E264289
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Little Al
Little Al is a minor character from the British television series "The Smoke," which follows the lives of London firefighters.
|
E908944
|
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: Little Al | Statement: [The Smoke, character, Little Al]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Al Context triple: [The Smoke, character, Little Al]
-
A.
Little Pete
Little Pete is a character who serves as a victim in the narrative conflict involving Dino Brewster, highlighting Brewster’s violent and antagonistic nature.
-
B.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
C.
Alvin
Alvin is the curious and pioneering protagonist of Arthur C. Clarke’s science fiction novel "Against the Fall of Night," set in a far-future, dying Earth.
-
D.
Alvin
Alvin is a deep-sea research submersible renowned for its crewed explorations of the ocean floor, including investigations of hydrothermal vents and the Titanic wreck.
-
E.
Alvin
Alvin is a masculine given name of Old English origin meaning "noble friend" or "elf friend," used in various English-speaking countries.
- 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: Little Al Triple: [The Smoke, character, Little Al]
Generated description
Little Al is a minor character from the British television series "The Smoke," which follows the lives of London firefighters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Al Target entity description: Little Al is a minor character from the British television series "The Smoke," which follows the lives of London firefighters.
-
A.
Little Pete
Little Pete is a character who serves as a victim in the narrative conflict involving Dino Brewster, highlighting Brewster’s violent and antagonistic nature.
-
B.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
C.
Alvin
Alvin is a deep-sea research submersible renowned for its crewed explorations of the ocean floor, including investigations of hydrothermal vents and the Titanic wreck.
-
D.
Alvin
Alvin is a masculine given name of Old English origin meaning "noble friend" or "elf friend," used in various English-speaking countries.
-
E.
Alvin
Alvin is the curious and pioneering protagonist of Arthur C. Clarke’s science fiction novel "Against the Fall of Night," set in a far-future, dying Earth.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.