Triple
T20103868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lone Star |
E496616
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Mercedes Cruz
Mercedes Cruz is a fictional character from the television drama series "Lone Star."
|
E1412160
|
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: Mercedes Cruz | Statement: [Lone Star, hasCharacter, Mercedes Cruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mercedes Cruz Context triple: [Lone Star, hasCharacter, Mercedes Cruz]
-
A.
Mercedes Martinez
Mercedes Martinez is the wife of American filmmaker Chris Weitz, known primarily for her connection to his work in the film industry.
-
B.
Mercedes Martinez
Mercedes Martinez is a vocalist known for her collaborations in Latin music, including featured performances on tracks such as "Game Theory."
-
C.
Penelope Alvarez
Penelope Alvarez is the Cuban-American single mother and military veteran at the heart of the 2017 reboot of "One Day at a Time," navigating family life, mental health, and cultural identity with humor and resilience.
-
D.
Elena Márquez
Elena Márquez is Dora’s adventurous and resourceful mother in the live-action film "Dora and the Lost City of Gold."
-
E.
Mercedes Torres
Mercedes Torres was the mother of Chilean politician and former president Manuel Montt.
- 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: Mercedes Cruz Triple: [Lone Star, hasCharacter, Mercedes Cruz]
Generated description
Mercedes Cruz is a fictional character from the television drama series "Lone Star."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mercedes Cruz Target entity description: Mercedes Cruz is a fictional character from the television drama series "Lone Star."
-
A.
Mercedes Martinez
Mercedes Martinez is the wife of American filmmaker Chris Weitz, known primarily for her connection to his work in the film industry.
-
B.
Mercedes Martinez
Mercedes Martinez is a vocalist known for her collaborations in Latin music, including featured performances on tracks such as "Game Theory."
-
C.
Penelope Alvarez
Penelope Alvarez is the Cuban-American single mother and military veteran at the heart of the 2017 reboot of "One Day at a Time," navigating family life, mental health, and cultural identity with humor and resilience.
-
D.
Elena Márquez
Elena Márquez is Dora’s adventurous and resourceful mother in the live-action film "Dora and the Lost City of Gold."
-
E.
Mercedes Torres
Mercedes Torres was the mother of Chilean politician and former president Manuel Montt.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e666daf73c819089f02ca6faa2c283 |
completed | April 20, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082712b04c81908e0413dee9a04ea6 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a082864abdc819080a9822114eb8c25 |
completed | May 16, 2026, 8:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082946da0c81909db45f0989020a17 |
completed | May 16, 2026, 8:22 a.m. |
Created at: April 11, 2026, 11:27 p.m.