Triple
T1379380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Gaiman |
E29300
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Michael Gaiman
Michael Gaiman is one of the children of acclaimed British author Neil Gaiman.
|
E167412
|
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: Michael Gaiman | Statement: [Neil Gaiman, hasChild, Michael Gaiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Gaiman Context triple: [Neil Gaiman, hasChild, Michael Gaiman]
-
A.
Neil Gaiman
Neil Gaiman is a British author renowned for his imaginative fantasy works across novels, comics, and screen, including "American Gods," "Coraline," and the graphic novel series "The Sandman."
-
B.
Gaiman
Gaiman is a small town in Argentina’s Chubut Province, known for its strong Welsh heritage, traditional tea houses, and distinctive Patagonian landscape.
-
C.
Holly Gaiman
Holly Gaiman is the daughter of acclaimed British author Neil Gaiman.
-
D.
Philip Pullman
Philip Pullman is a British author best known for his fantasy trilogy "His Dark Materials," acclaimed for its imaginative world-building and philosophical depth.
-
E.
Alan Garner
Alan Garner is an English novelist renowned for his fantasy and children's literature rooted in folklore and the landscapes of Cheshire, particularly works like "The Weirdstone of Brisingamen" and "The Owl Service."
- 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: Michael Gaiman Triple: [Neil Gaiman, hasChild, Michael Gaiman]
Generated description
Michael Gaiman is one of the children of acclaimed British author Neil Gaiman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Gaiman Target entity description: Michael Gaiman is one of the children of acclaimed British author Neil Gaiman.
-
A.
Neil Gaiman
Neil Gaiman is a British author renowned for his imaginative fantasy works across novels, comics, and screen, including "American Gods," "Coraline," and the graphic novel series "The Sandman."
-
B.
Gaiman
Gaiman is a small town in Argentina’s Chubut Province, known for its strong Welsh heritage, traditional tea houses, and distinctive Patagonian landscape.
-
C.
Holly Gaiman
Holly Gaiman is the daughter of acclaimed British author Neil Gaiman.
-
D.
Philip Pullman
Philip Pullman is a British author best known for his fantasy trilogy "His Dark Materials," acclaimed for its imaginative world-building and philosophical depth.
-
E.
Alan Garner
Alan Garner is an English novelist renowned for his fantasy and children's literature rooted in folklore and the landscapes of Cheshire, particularly works like "The Weirdstone of Brisingamen" and "The Owl Service."
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3187f248190a5813274b0ef944d |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e657d3c8190962220e52e3e64c0 |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0f2b046081908be111f16e2de0fb |
completed | March 8, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0fe782548190a437386ee2f4c2d5 |
completed | March 8, 2026, 5:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.