Triple
T5334499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allie "Tick Tock" Tannenbaum |
E123792
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tannenbaum
Tannenbaum is a surname of German origin borne by various individuals, including the mobster Allie "Tick Tock" Tannenbaum.
|
E512473
|
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: Tannenbaum | Statement: [Allie "Tick Tock" Tannenbaum, familyName, Tannenbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tannenbaum Context triple: [Allie "Tick Tock" Tannenbaum, familyName, Tannenbaum]
-
A.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
B.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
C.
Bo tree
The Bo tree is the sacred fig tree under which Siddhartha Gautama is believed to have attained enlightenment, making it a central symbol in Buddhism.
-
D.
Kedr
Kedr was the radio call sign used by Yuri Gagarin during his historic Vostok 1 mission, the first human spaceflight.
-
E.
Tilia
Tilia is a genus of deciduous trees commonly known as lindens or lime trees, valued for their fragrant flowers, heart-shaped leaves, and use in ornamental planting and herbal remedies.
- 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: Tannenbaum Triple: [Allie "Tick Tock" Tannenbaum, familyName, Tannenbaum]
Generated description
Tannenbaum is a surname of German origin borne by various individuals, including the mobster Allie "Tick Tock" Tannenbaum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tannenbaum Target entity description: Tannenbaum is a surname of German origin borne by various individuals, including the mobster Allie "Tick Tock" Tannenbaum.
-
A.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
B.
Birch
Birch is a masculine given name most notably borne by American politician Birch Bayh, a long-serving U.S. senator from Indiana.
-
C.
Bo tree
The Bo tree is the sacred fig tree under which Siddhartha Gautama is believed to have attained enlightenment, making it a central symbol in Buddhism.
-
D.
Kedr
Kedr was the radio call sign used by Yuri Gagarin during his historic Vostok 1 mission, the first human spaceflight.
-
E.
Tilia
Tilia is a genus of deciduous trees commonly known as lindens or lime trees, valued for their fragrant flowers, heart-shaped leaves, and use in ornamental planting and herbal remedies.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ae52c08190968a5567b7e6b794 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18baeca081909acc11d0c6c89f6d |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf1a5440d8819094a6da0282408b7b |
completed | March 21, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1abe1ea88190b681eb18bfa361d7 |
completed | March 21, 2026, 10:25 p.m. |
Created at: March 20, 2026, 2 p.m.