Triple
T16994502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina "Teeny" Tercell |
E412278
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Teeny
Teeny is the nickname of Tina "Teeny" Tercell, a character known for her small stature and youthful, energetic personality.
|
E1244068
|
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: Teeny | Statement: [Tina "Teeny" Tercell, hasNickname, Teeny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teeny Context triple: [Tina "Teeny" Tercell, hasNickname, Teeny]
-
A.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
-
B.
Tiny
Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
-
C.
Txikiyana
Txikiyana is a dialectal variety of the Tiriyó language spoken by an Indigenous community in the Amazon region of northern South America.
-
D.
Little Bitty
"Little Bitty" is a popular 1996 country song by Alan Jackson known for its upbeat tempo and celebration of simple, everyday joys.
-
E.
Petit
Petit is the surname of Sir Dinshaw Maneckji Petit, 1st Baronet, a prominent 19th-century Parsi industrialist and philanthropist from Bombay.
- 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: Teeny Triple: [Tina "Teeny" Tercell, hasNickname, Teeny]
Generated description
Teeny is the nickname of Tina "Teeny" Tercell, a character known for her small stature and youthful, energetic personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teeny Target entity description: Teeny is the nickname of Tina "Teeny" Tercell, a character known for her small stature and youthful, energetic personality.
-
A.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
-
B.
Tiny
Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
-
C.
Txikiyana
Txikiyana is a dialectal variety of the Tiriyó language spoken by an Indigenous community in the Amazon region of northern South America.
-
D.
Little Bitty
"Little Bitty" is a popular 1996 country song by Alan Jackson known for its upbeat tempo and celebration of simple, everyday joys.
-
E.
Petit
Petit is the surname of Sir Dinshaw Maneckji Petit, 1st Baronet, a prominent 19th-century Parsi industrialist and philanthropist from Bombay.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d285f35881908c32b2f27ba7f0ac |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc16fbdc819095411a056b9942c3 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a00dc96a9588190b020fd7fd1deee2b |
completed | May 10, 2026, 7:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0114e04e00819093805024f8417fad |
completed | May 10, 2026, 11:29 p.m. |
Created at: April 10, 2026, 5:32 a.m.