Triple
T14767697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Ortiz |
E347040
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Tammie Ortiz
Tammie Ortiz is known as the sister of professional boxer Victor Ortiz.
|
E1121172
|
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: Tammie Ortiz | Statement: [Victor Ortiz, hasSibling, Tammie Ortiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tammie Ortiz Context triple: [Victor Ortiz, hasSibling, Tammie Ortiz]
-
A.
Jenifer Ortiz
Jenifer Ortiz is a film producer known for her work on the musical drama project "Guava Island."
-
B.
Tammy Gregorio
Tammy Gregorio is a fictional FBI agent-turned-NCIS investigator and main character on the television series "NCIS: New Orleans," known for her tough, no-nonsense demeanor and complex personal backstory.
-
C.
Nancy Parras
Nancy Parras is a central character in the television drama series "The District," portrayed as a dedicated and resourceful member of the Washington, D.C. police force.
-
D.
Sandra Marquez
Sandra Marquez is an American stage actress and director known for her long-standing work with Chicago’s Steppenwolf Theatre Company.
-
E.
Kristie Canegallo
Kristie Canegallo is an American government official and policy advisor who has served in senior operational and national security roles in the White House and federal administration.
- 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: Tammie Ortiz Triple: [Victor Ortiz, hasSibling, Tammie Ortiz]
Generated description
Tammie Ortiz is known as the sister of professional boxer Victor Ortiz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tammie Ortiz Target entity description: Tammie Ortiz is known as the sister of professional boxer Victor Ortiz.
-
A.
Jenifer Ortiz
Jenifer Ortiz is a film producer known for her work on the musical drama project "Guava Island."
-
B.
Tammy Gregorio
Tammy Gregorio is a fictional FBI agent-turned-NCIS investigator and main character on the television series "NCIS: New Orleans," known for her tough, no-nonsense demeanor and complex personal backstory.
-
C.
Nancy Parras
Nancy Parras is a central character in the television drama series "The District," portrayed as a dedicated and resourceful member of the Washington, D.C. police force.
-
D.
Sandra Marquez
Sandra Marquez is an American stage actress and director known for her long-standing work with Chicago’s Steppenwolf Theatre Company.
-
E.
Kristie Canegallo
Kristie Canegallo is an American government official and policy advisor who has served in senior operational and national security roles in the White House and federal administration.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b41df881908119e183b8299c48 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe276bff648190a6be5d25182accd5 |
completed | May 8, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe27c3fce48190914e2a84b1de527c |
completed | May 8, 2026, 6:13 p.m. |
Created at: April 10, 2026, 1:30 a.m.