Triple
T19645724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lang |
E471665
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Tamara Lang
Tamara Lang is known as the spouse of Michael Lang, the co-creator and promoter of the original Woodstock music festival.
|
E1402958
|
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 Lang | Statement: [Michael Lang, spouse, Tamara Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Lang Context triple: [Michael Lang, spouse, Tamara Lang]
-
A.
Tamara Greer
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
-
B.
Tamara Taylor
Tamara Taylor is a Canadian actress best known for her role as Dr. Camille Saroyan on the television series "Bones."
-
C.
Tamara Fitch
Tamara Fitch is known as the former wife of Mike Love, the lead singer and co-founder of the Beach Boys.
-
D.
Tamara James
Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
-
E.
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.
- 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 Lang Triple: [Michael Lang, spouse, Tamara Lang]
Generated description
Tamara Lang is known as the spouse of Michael Lang, the co-creator and promoter of the original Woodstock music festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamara Lang Target entity description: Tamara Lang is known as the spouse of Michael Lang, the co-creator and promoter of the original Woodstock music festival.
-
A.
Tamara Greer
Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
-
B.
Tamara Taylor
Tamara Taylor is a Canadian actress best known for her role as Dr. Camille Saroyan on the television series "Bones."
-
C.
Tamara Fitch
Tamara Fitch is known as the former wife of Mike Love, the lead singer and co-founder of the Beach Boys.
-
D.
Tamara James
Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
-
E.
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.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6ce86a88190b72224d11899673e |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f7ede6608190987f40ce0d6f845c |
completed | May 16, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f90751bc819093d123ecc689c19f |
completed | May 16, 2026, 4:56 a.m. |
Created at: April 10, 2026, 1:44 p.m.