Triple
T2200433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster |
E50475
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
J. M. R. Luna
J. M. R. Luna is an editor known for working on the publication titled "Monster."
|
E241136
|
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: J. M. R. Luna | Statement: [Monster, editedBy, J. M. R. Luna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. M. R. Luna Context triple: [Monster, editedBy, J. M. R. Luna]
-
A.
José Ybarra-Jaegar
José Ybarra-Jaegar is a minor character in Truman Capote’s novella "Breakfast at Tiffany’s," appearing within Holly Golightly’s New York social circle.
-
B.
William Miranda Torres
William Miranda Torres is a Puerto Rican politician who serves as the mayor of the city of Caguas.
-
C.
Joaquín Goyache
Joaquín Goyache is a Spanish veterinarian and academic who serves as rector of the Complutense University of Madrid.
-
D.
Guillermo Jullian de la Fuente
Guillermo Jullian de la Fuente was a Chilean architect best known as a close collaborator of Le Corbusier and a key contributor to several of his late projects.
-
E.
X. Atencio
X. Atencio was a Disney animator and Imagineer best known for writing the iconic scripts and song lyrics for classic Disneyland attractions such as Pirates of the Caribbean and the Haunted Mansion.
- 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: J. M. R. Luna Triple: [Monster, editedBy, J. M. R. Luna]
Generated description
J. M. R. Luna is an editor known for working on the publication titled "Monster."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J. M. R. Luna Target entity description: J. M. R. Luna is an editor known for working on the publication titled "Monster."
-
A.
José Ybarra-Jaegar
José Ybarra-Jaegar is a minor character in Truman Capote’s novella "Breakfast at Tiffany’s," appearing within Holly Golightly’s New York social circle.
-
B.
William Miranda Torres
William Miranda Torres is a Puerto Rican politician who serves as the mayor of the city of Caguas.
-
C.
Joaquín Goyache
Joaquín Goyache is a Spanish veterinarian and academic who serves as rector of the Complutense University of Madrid.
-
D.
Guillermo Jullian de la Fuente
Guillermo Jullian de la Fuente was a Chilean architect best known as a close collaborator of Le Corbusier and a key contributor to several of his late projects.
-
E.
X. Atencio
X. Atencio was a Disney animator and Imagineer best known for writing the iconic scripts and song lyrics for classic Disneyland attractions such as Pirates of the Caribbean and the Haunted Mansion.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dbb6e8481908610337cfd2a4bd1 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e4a45a08190bd96af6cda06ab35 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ec5a5b88190b80fc3607d2c789c |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:46 p.m.