Triple
T17697861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Robinson |
E441218
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joseph Valdez
Joseph Valdez is known as the husband of American actress and television host Ann Robinson.
|
E1377691
|
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: Joseph Valdez | Statement: [Ann Robinson, spouse, Joseph Valdez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Valdez Context triple: [Ann Robinson, spouse, Joseph Valdez]
-
A.
Emilio Garza
Emilio Garza was a United States federal judge who served on the U.S. Court of Appeals for the Fifth Circuit and was at one point considered a potential nominee to the Supreme Court.
-
B.
Roberto Muzquiz
Roberto Muzquiz is the child of Rosaura De la Garza, a member of her immediate family.
-
C.
Enrique Cruz
Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
-
D.
Hector Ruiz
Hector Ruiz is a Mexican-American engineer and business executive best known for serving as CEO and chairman of semiconductor company AMD, where he led major strategic initiatives including the acquisition of ATI.
-
E.
Javier Garza
Javier Garza is a Grammy-winning music producer and audio engineer known for his work on major Latin pop albums, including projects with Shakira.
- 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: Joseph Valdez Triple: [Ann Robinson, spouse, Joseph Valdez]
Generated description
Joseph Valdez is known as the husband of American actress and television host Ann Robinson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Valdez Target entity description: Joseph Valdez is known as the husband of American actress and television host Ann Robinson.
-
A.
Emilio Garza
Emilio Garza was a United States federal judge who served on the U.S. Court of Appeals for the Fifth Circuit and was at one point considered a potential nominee to the Supreme Court.
-
B.
Roberto Muzquiz
Roberto Muzquiz is the child of Rosaura De la Garza, a member of her immediate family.
-
C.
Enrique Cruz
Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
-
D.
Hector Ruiz
Hector Ruiz is a Mexican-American engineer and business executive best known for serving as CEO and chairman of semiconductor company AMD, where he led major strategic initiatives including the acquisition of ATI.
-
E.
Javier Garza
Javier Garza is a Grammy-winning music producer and audio engineer known for his work on major Latin pop albums, including projects with Shakira.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47157fd688190ba990eaf46ceab01 |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0740384d7c819090bbbacf685999b6 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740e72ad48190a98124f59d3e33b6 |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07416b52888190aa6b2a251b407abd |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, 10:04 a.m.