Triple
T20383850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ship Ahoy |
E497907
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Merton K. Kibble
Merton K. Kibble is a fictional character appearing in the film "Ship Ahoy."
|
E1428016
|
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: Merton K. Kibble | Statement: [Ship Ahoy, hasCharacter, Merton K. Kibble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merton K. Kibble Context triple: [Ship Ahoy, hasCharacter, Merton K. Kibble]
-
A.
Tom Kibble
Tom Kibble was a British theoretical physicist renowned for his pioneering work on spontaneous symmetry breaking and the Higgs mechanism in particle physics.
-
B.
John Randall
John Randall was a British physicist and biophysicist known for his leadership in molecular biology research at King's College London, where crucial work on the structure of DNA was carried out.
-
C.
John Randall
John Randall is a member of the Randall family, known primarily in relation to Rebecca Randall.
-
D.
Freeman A. Davies
Freeman A. Davies is a film editor best known for his work on the action-comedy movie "48 Hrs."
-
E.
John Ernest Randall
John Ernest Randall was a physicist and academic known for his contributions to nuclear physics and for being a prominent student of Ernest Marsden.
- 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: Merton K. Kibble Triple: [Ship Ahoy, hasCharacter, Merton K. Kibble]
Generated description
Merton K. Kibble is a fictional character appearing in the film "Ship Ahoy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merton K. Kibble Target entity description: Merton K. Kibble is a fictional character appearing in the film "Ship Ahoy."
-
A.
Tom Kibble
Tom Kibble was a British theoretical physicist renowned for his pioneering work on spontaneous symmetry breaking and the Higgs mechanism in particle physics.
-
B.
John Randall
John Randall was a British physicist and biophysicist known for his leadership in molecular biology research at King's College London, where crucial work on the structure of DNA was carried out.
-
C.
John Randall
John Randall is a member of the Randall family, known primarily in relation to Rebecca Randall.
-
D.
Freeman A. Davies
Freeman A. Davies is a film editor best known for his work on the action-comedy movie "48 Hrs."
-
E.
John Ernest Randall
John Ernest Randall was a physicist and academic known for his contributions to nuclear physics and for being a prominent student of Ernest Marsden.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761704488190a4b832977d824839 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a08771f7edc8190b0c1dce8f5f6e145 |
completed | May 16, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877ac99408190a31ee21894770334 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 11:27 a.m.