Triple
T14552027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Havisham |
E341440
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object | Pip |
E857015
|
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: Pip | Statement: [Miss Havisham, relationshipWith, Pip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pip Context triple: [Miss Havisham, relationshipWith, Pip]
-
A.
Pip
Pip is a young Black cabin boy aboard the Pequod in Herman Melville’s novel "Moby-Dick," whose traumatic experience at sea leads to a profound, prophetic madness.
-
B.
Pip
chosen
Pip is the orphaned protagonist and narrator of Charles Dickens's novel "Great Expectations," whose life traces a journey from humble beginnings to social ambition and moral self-discovery.
-
C.
Francis Dickens
Francis Dickens was a British-born Canadian police officer and son of novelist Charles Dickens, best known for his service as an officer in the North-West Mounted Police.
-
D.
Pip Torrens
Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
-
E.
Mr. Bucket
Mr. Bucket is Charlie Bucket’s hardworking but impoverished father in Roald Dahl’s novel "Charlie and the Chocolate Factory."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.