Triple
T14287583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School Reunion |
E354213
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Caroline Berry
Caroline Berry is an actress known for her role in the British television drama "School Reunion."
|
E1111958
|
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: Caroline Berry | Statement: [School Reunion, featuresActor, Caroline Berry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caroline Berry Context triple: [School Reunion, featuresActor, Caroline Berry]
-
A.
Caroline Pearson
Caroline Pearson was the wife of English postal reformer Rowland Hill, known primarily through her association with his pioneering work on the modern postal system.
-
B.
Caroline Benn
Caroline Benn was a prominent British educationalist and campaigner known for her advocacy of comprehensive education and social justice.
-
C.
Caroline Ross
Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
-
D.
Caroline Baron
Caroline Baron is an American film producer known for her work on acclaimed independent and studio films, including the biographical drama "Capote."
-
E.
Caroline Williams
Caroline Williams is an American actress best known for her iconic role as radio DJ Vanita "Stretch" Brock in the 1986 horror film The Texas Chainsaw Massacre 2.
- 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: Caroline Berry Triple: [School Reunion, featuresActor, Caroline Berry]
Generated description
Caroline Berry is an actress known for her role in the British television drama "School Reunion."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caroline Berry Target entity description: Caroline Berry is an actress known for her role in the British television drama "School Reunion."
-
A.
Caroline Pearson
Caroline Pearson was the wife of English postal reformer Rowland Hill, known primarily through her association with his pioneering work on the modern postal system.
-
B.
Caroline Benn
Caroline Benn was a prominent British educationalist and campaigner known for her advocacy of comprehensive education and social justice.
-
C.
Caroline Ross
Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
-
D.
Caroline Baron
Caroline Baron is an American film producer known for her work on acclaimed independent and studio films, including the biographical drama "Capote."
-
E.
Caroline Williams
Caroline Williams is an American actress best known for her iconic role as radio DJ Vanita "Stretch" Brock in the 1986 horror film The Texas Chainsaw Massacre 2.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5bb9a5881908eac6153c7eb623e |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd6c216648190a6602c17892a2407 |
completed | May 8, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd79198108190a3e640eca97b082b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:11 a.m.