Triple
T19694598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Meeting |
E472921
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Tomas Gomez
Tomas Gomez is the protagonist of Ray Bradbury’s short story “Night Meeting,” a traveler on Mars who experiences a mysterious, time-bending encounter that blurs the line between past and future.
|
E1453335
|
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: Tomas Gomez | Statement: [Night Meeting, hasMainCharacter, Tomas Gomez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomas Gomez Context triple: [Night Meeting, hasMainCharacter, Tomas Gomez]
-
A.
Edward Gomez
Edward Gomez is a Gambian lawyer and politician who has served as the country's Attorney General.
-
B.
Tomas Lopez
Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
-
C.
Hugo Ramirez
Hugo Ramirez is a central forensic investigator character in the television crime drama series CSI: Vegas.
-
D.
Manuel Vivanco
Manuel Vivanco is a relatively obscure individual whose primary current distinction is simply being noted as a bearer of the surname Vivanco.
-
E.
Victor Salazar
Victor Salazar is the teenage protagonist of the TV series "Love, Victor," which follows his journey of self-discovery, relationships, and coming to terms with his sexual identity.
- 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: Tomas Gomez Triple: [Night Meeting, hasMainCharacter, Tomas Gomez]
Generated description
Tomas Gomez is the protagonist of Ray Bradbury’s short story “Night Meeting,” a traveler on Mars who experiences a mysterious, time-bending encounter that blurs the line between past and future.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomas Gomez Target entity description: Tomas Gomez is the protagonist of Ray Bradbury’s short story “Night Meeting,” a traveler on Mars who experiences a mysterious, time-bending encounter that blurs the line between past and future.
-
A.
Edward Gomez
Edward Gomez is a Gambian lawyer and politician who has served as the country's Attorney General.
-
B.
Tomas Lopez
Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
-
C.
Hugo Ramirez
Hugo Ramirez is a central forensic investigator character in the television crime drama series CSI: Vegas.
-
D.
Manuel Vivanco
Manuel Vivanco is a relatively obscure individual whose primary current distinction is simply being noted as a bearer of the surname Vivanco.
-
E.
Victor Salazar
Victor Salazar is the teenage protagonist of the TV series "Love, Victor," which follows his journey of self-discovery, relationships, and coming to terms with his sexual identity.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6421385e88190b22b12ab3d851dea |
completed | April 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090ae5beb48190a17cd9ea6c0ca0d0 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bdfa0d481909027f6d7c846a7d6 |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090c4534b481908079407989ba51f6 |
completed | May 17, 2026, 12:31 a.m. |
Created at: April 10, 2026, 1:46 p.m.