Triple
T4506397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sandman |
E101340
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Lyta Hall
Lyta Hall is a character in Neil Gaiman's The Sandman, a former superhero whose grief and complex relationship with Dream drive key supernatural events in the series.
|
E447141
|
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: Lyta Hall | Statement: [The Sandman, hasCharacter, Lyta Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyta Hall Context triple: [The Sandman, hasCharacter, Lyta Hall]
-
A.
Batasan Hall
Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
-
B.
Blackridge
Blackridge is a village in West Lothian, Scotland, situated between Bathgate and Armadale with a largely residential and commuter community.
-
C.
Bracken House
Bracken House is a notable London building best known as the historic and modern home of the Financial Times newspaper.
-
D.
Irion Hall
Irion Hall is an academic building on the campus of Elmhurst University, used for classrooms, offices, and other university functions.
-
E.
Harkness
Harkness is a surname of Scottish origin borne by various notable individuals in fields such as business, philanthropy, and the arts.
- 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: Lyta Hall Triple: [The Sandman, hasCharacter, Lyta Hall]
Generated description
Lyta Hall is a character in Neil Gaiman's The Sandman, a former superhero whose grief and complex relationship with Dream drive key supernatural events in the series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyta Hall Target entity description: Lyta Hall is a character in Neil Gaiman's The Sandman, a former superhero whose grief and complex relationship with Dream drive key supernatural events in the series.
-
A.
Batasan Hall
Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
-
B.
Blackridge
Blackridge is a village in West Lothian, Scotland, situated between Bathgate and Armadale with a largely residential and commuter community.
-
C.
Bracken House
Bracken House is a notable London building best known as the historic and modern home of the Financial Times newspaper.
-
D.
Irion Hall
Irion Hall is an academic building on the campus of Elmhurst University, used for classrooms, offices, and other university functions.
-
E.
Harkness
Harkness is a surname of Scottish origin borne by various notable individuals in fields such as business, philanthropy, and the arts.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56ff78748190bb667e70c69dc817 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f9d05d08190bde36e7d614a0e2e |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd705f5fc481908236c3ff4e6ccb26 |
completed | March 20, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd70c7abd08190b2010b7baf0cb8fd |
completed | March 20, 2026, 4:07 p.m. |
Created at: March 20, 2026, 1:01 p.m.