Triple
T1368545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Craig |
E30056
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Eleanor Craig
Eleanor Craig is known primarily as the daughter of William Craig.
|
E155930
|
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: Eleanor Craig | Statement: [William Craig, hasChild, Eleanor Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleanor Craig Context triple: [William Craig, hasChild, Eleanor Craig]
-
A.
The Deep Blue Sea
The Deep Blue Sea is a 1952 stage play by British dramatist Terence Rattigan that explores themes of passion, despair, and unrequited love through the story of a woman trapped in a destructive affair.
-
B.
Maud
Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
-
C.
The Lady of Shalott
The Lady of Shalott is a famous 19th-century painting by John William Waterhouse, inspired by Alfred Tennyson’s poem and celebrated as an iconic example of Pre-Raphaelite romanticism and medievalism.
-
D.
The Bells
"The Bells" is a lyrical poem by Edgar Allan Poe that uses musical repetition and onomatopoeia to evoke the changing moods and stages of life through the sounds of different bells.
-
E.
Ondine
Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
- 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: Eleanor Craig Triple: [William Craig, hasChild, Eleanor Craig]
Generated description
Eleanor Craig is known primarily as the daughter of William Craig.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eleanor Craig Target entity description: Eleanor Craig is known primarily as the daughter of William Craig.
-
A.
The Deep Blue Sea
The Deep Blue Sea is a 1952 stage play by British dramatist Terence Rattigan that explores themes of passion, despair, and unrequited love through the story of a woman trapped in a destructive affair.
-
B.
Maud
Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
-
C.
The Lady of Shalott
The Lady of Shalott is a famous 19th-century painting by John William Waterhouse, inspired by Alfred Tennyson’s poem and celebrated as an iconic example of Pre-Raphaelite romanticism and medievalism.
-
D.
The Bells
"The Bells" is a lyrical poem by Edgar Allan Poe that uses musical repetition and onomatopoeia to evoke the changing moods and stages of life through the sounds of different bells.
-
E.
Ondine
Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d497f88190993d16a208ced43d |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce7ae56c8190970bacb061a71798 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf15d910819098e9a4b24247881b |
completed | March 8, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accffa9a40819083a3e55a5d83e040 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:57 p.m.