Triple
T11498624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Bikel |
E272606
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Tamara Brooks
Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
|
E1032698
|
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: Tamara Brooks | Statement: [Theodore Bikel, spouse, Tamara Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Brooks Context triple: [Theodore Bikel, spouse, Tamara Brooks]
-
A.
Tara Brooks
Tara Brooks is a character in Marvel Comics best known as the human mother of the vampire hunter Blade.
-
B.
Tamara Jenkins
Tamara Jenkins is an American filmmaker and screenwriter best known for her sharp, character-driven independent films such as "Slums of Beverly Hills" and "The Savages."
-
C.
Tamara James
Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
-
D.
Tamara Miller
Tamara Miller is a member of the Disney family and a granddaughter of Walt Disney through his daughter Diane Disney Miller.
-
E.
Mary Brodbar
Mary Brodbar was the second wife of architect William Wesley Peters, a close associate and son-in-law of Frank Lloyd Wright.
- 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: Tamara Brooks Triple: [Theodore Bikel, spouse, Tamara Brooks]
Generated description
Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamara Brooks Target entity description: Tamara Brooks was an American choral conductor and music educator known for her work with prominent ensembles and contributions to contemporary classical music.
-
A.
Tara Brooks
Tara Brooks is a character in Marvel Comics best known as the human mother of the vampire hunter Blade.
-
B.
Tamara Jenkins
Tamara Jenkins is an American filmmaker and screenwriter best known for her sharp, character-driven independent films such as "Slums of Beverly Hills" and "The Savages."
-
C.
Tamara James
Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
-
D.
Tamara Miller
Tamara Miller is a member of the Disney family and a granddaughter of Walt Disney through his daughter Diane Disney Miller.
-
E.
Mary Brodbar
Mary Brodbar was the second wife of architect William Wesley Peters, a close associate and son-in-law of Frank Lloyd Wright.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716adaed081909a6c026f9e232381 |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f717b7b6dc8190ab323c1926dd9adb |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718705a44819084b97d35a10ee50d |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 8, 2026, 9:36 p.m.