Triple
T5634545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damian |
E147913
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Dami
Dami is a diminutive or affectionate short form of the given name Damian.
|
E538537
|
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: Dami | Statement: [Damian, hasDiminutive, Dami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dami Context triple: [Damian, hasDiminutive, Dami]
-
A.
Demis
Demis is the given name of Demis Hassabis, a prominent AI researcher and co-founder of DeepMind.
-
B.
Didi
Didi was a legendary Brazilian attacking midfielder, renowned for his playmaking brilliance and key role in Brazil’s World Cup victories in 1958 and 1962.
-
C.
Dimalik
Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
-
D.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
E.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
- 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: Dami Triple: [Damian, hasDiminutive, Dami]
Generated description
Dami is a diminutive or affectionate short form of the given name Damian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dami Target entity description: Dami is a diminutive or affectionate short form of the given name Damian.
-
A.
Demis
Demis is the given name of Demis Hassabis, a prominent AI researcher and co-founder of DeepMind.
-
B.
Didi
Didi was a legendary Brazilian attacking midfielder, renowned for his playmaking brilliance and key role in Brazil’s World Cup victories in 1958 and 1962.
-
C.
Dimalik
Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
-
D.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
E.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0226118548190877793dadf6cacba |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d6d2dfc8190a2eabb8beda04ee5 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e8a92a0819091bad1fbef4a509b |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c056acf1f48190bf7324ae178adbb7 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 3:41 p.m.