Triple
T17916814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Teeger |
E447948
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object |
Teeger
Teeger is the surname of Natalie Teeger, a main character and assistant to detective Adrian Monk in the television series "Monk."
|
E1296312
|
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: Teeger | Statement: [Natalie Teeger, hasLastName, Teeger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teeger Context triple: [Natalie Teeger, hasLastName, Teeger]
-
A.
Teebo
Teebo is an Ewok from the Star Wars universe, known as a scout and warrior who helps the Rebel Alliance during the Battle of Endor.
-
B.
Tio
Tio is a coastal town in Eritrea’s Southern Red Sea Region, known historically as a small port on the Red Sea.
-
C.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
D.
Griffin
Griffin is the invisible, increasingly unhinged scientist at the center of H. G. Wells’s classic science fiction novel "The Invisible Man."
-
E.
Griffin
Griffin is a residential suburb in the Moreton Bay Region of Queensland, Australia, situated near the Pine River and known for its growing housing estates and proximity to major transport links.
- 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: Teeger Triple: [Natalie Teeger, hasLastName, Teeger]
Generated description
Teeger is the surname of Natalie Teeger, a main character and assistant to detective Adrian Monk in the television series "Monk."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teeger Target entity description: Teeger is the surname of Natalie Teeger, a main character and assistant to detective Adrian Monk in the television series "Monk."
-
A.
Teebo
Teebo is an Ewok from the Star Wars universe, known as a scout and warrior who helps the Rebel Alliance during the Battle of Endor.
-
B.
Tio
Tio is a coastal town in Eritrea’s Southern Red Sea Region, known historically as a small port on the Red Sea.
-
C.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
D.
Griffin
Griffin is the invisible, increasingly unhinged scientist at the center of H. G. Wells’s classic science fiction novel "The Invisible Man."
-
E.
Griffin
Griffin is a residential suburb in the Moreton Bay Region of Queensland, Australia, situated near the Pine River and known for its growing housing estates and proximity to major transport links.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212c9e88819099fb04040e543d63 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0321e2ce7c81909f24975b71f73621 |
completed | May 12, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032255c76c81909ab534ae3e8adddc |
completed | May 12, 2026, 12:51 p.m. |
Created at: April 10, 2026, 10:20 a.m.