Triple
T17096879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1914–15 Star |
E414871
|
entity |
| Predicate | nickName |
P2937
|
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: [1914–15 Star, nickName, Pip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pip Context triple: [1914–15 Star, nickName, 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.
Pip Tyler
Pip Tyler is the troubled, idealistic young woman who serves as the central protagonist of Jonathan Franzen’s novel "Purity."
-
D.
Mr. Dick
Mr. Dick is an eccentric but kind-hearted and loyal companion in Charles Dickens's novel "David Copperfield," known for his childlike simplicity and devotion to Betsey Trotwood.
-
E.
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.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfe92988190aa066745ca9791d5 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eedfd7c8190b267dedd403f5f2b |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.