Triple
T8593408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moomin |
E203484
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Tammi
Tammi is a Finnish publishing house known for releasing notable works of literature, including the Finnish editions of the Moomin books.
|
E745280
|
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: Tammi | Statement: [Moomin, publisher, Tammi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tammi Context triple: [Moomin, publisher, Tammi]
-
A.
Tammy
"Tammy" is a popular 1957 ballad closely associated with the film "Tammy and the Bachelor" and widely remembered for its romantic, nostalgic melody.
-
B.
Tammy
Tammy is one of Madea’s outspoken, short-tempered daughters in Tyler Perry’s "Madea’s Big Happy Family," known for her combative attitude and family conflicts.
-
C.
Tammy
Tammy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Tamara or Tamsin.
-
D.
Tammy
Tammy is a resourceful, quirky suburban mom-turned-criminal and a key member of the heist crew in the film "Ocean's 8," portrayed by Sarah Paulson.
-
E.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
- 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: Tammi Triple: [Moomin, publisher, Tammi]
Generated description
Tammi is a Finnish publishing house known for releasing notable works of literature, including the Finnish editions of the Moomin books.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tammi Target entity description: Tammi is a Finnish publishing house known for releasing notable works of literature, including the Finnish editions of the Moomin books.
-
A.
Tammy
"Tammy" is a popular 1957 ballad closely associated with the film "Tammy and the Bachelor" and widely remembered for its romantic, nostalgic melody.
-
B.
Tammy
Tammy is one of Madea’s outspoken, short-tempered daughters in Tyler Perry’s "Madea’s Big Happy Family," known for her combative attitude and family conflicts.
-
C.
Tammy
Tammy is a resourceful, quirky suburban mom-turned-criminal and a key member of the heist crew in the film "Ocean's 8," portrayed by Sarah Paulson.
-
D.
Tammy
Tammy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Tamara or Tamsin.
-
E.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4668b49481908838579e9876c1ec |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8becbd88190837478e302d5e5b4 |
completed | April 2, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69cea9e685388190a4be9d2135dc02d0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaababe2c8190bc47430d33bfdbaa |
completed | April 2, 2026, 5:43 p.m. |
Created at: March 30, 2026, 6:23 p.m.