Triple
T13472921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Wokoma |
E318173
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Porters
Porters is a British comedy television series following the chaotic lives of hospital porters working behind the scenes in a busy NHS hospital.
|
E1042600
|
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: Porters | Statement: [Susan Wokoma, notableWork, Porters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porters Context triple: [Susan Wokoma, notableWork, Porters]
-
A.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
B.
Porter
Porter is a small town in Wagoner County, Oklahoma, known for its agricultural roots and annual peach festival.
-
C.
Porter
Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
-
D.
Boilermakers
Boilermakers is the nickname for Purdue University's athletic teams and, more broadly, a moniker for the university’s students and alumni.
-
E.
Forrister
Forrister is an indie rock band best known as one of the early musical projects fronted by singer-songwriter Julien Baker.
- 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: Porters Triple: [Susan Wokoma, notableWork, Porters]
Generated description
Porters is a British comedy television series following the chaotic lives of hospital porters working behind the scenes in a busy NHS hospital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porters Target entity description: Porters is a British comedy television series following the chaotic lives of hospital porters working behind the scenes in a busy NHS hospital.
-
A.
Porter
Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
-
B.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
C.
Porter
Porter is a small town in Wagoner County, Oklahoma, known for its agricultural roots and annual peach festival.
-
D.
Boilermakers
Boilermakers is the nickname for Purdue University's athletic teams and, more broadly, a moniker for the university’s students and alumni.
-
E.
Forrister
Forrister is an indie rock band best known as one of the early musical projects fronted by singer-songwriter Julien Baker.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462d97688190b5b817fff5973ceb |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74b294e548190a34120a99be38ed2 |
completed | May 3, 2026, 1:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74b8ed66081909cfba73e4c2667a4 |
completed | May 3, 2026, 1:20 p.m. |
Created at: April 9, 2026, 9:42 p.m.