Triple
T17499075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datadog |
E426146
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
DDOG
DDOG is the stock ticker symbol for Datadog, a cloud-based monitoring and analytics platform for IT infrastructure, applications, and logs.
|
E1272515
|
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: DDOG | Statement: [Datadog, tickerSymbol, DDOG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DDOG Context triple: [Datadog, tickerSymbol, DDOG]
-
A.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
B.
Dirt Dog
Dirt Dog is a track by rapper and Wu-Tang Clan member Ol' Dirty Bastard, featured on his 1999 album "Nigga Please."
-
C.
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
-
D.
Dotti
Dotti is an Italian surname most notably associated with Luca Dotti, the son of actress Audrey Hepburn.
-
E.
Doggie Daddy
Doggie Daddy is a protective and well-meaning anthropomorphic dog and father figure from the classic Hanna-Barbera animated series "Augie Doggie and Doggie Daddy."
- 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: DDOG Triple: [Datadog, tickerSymbol, DDOG]
Generated description
DDOG is the stock ticker symbol for Datadog, a cloud-based monitoring and analytics platform for IT infrastructure, applications, and logs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DDOG Target entity description: DDOG is the stock ticker symbol for Datadog, a cloud-based monitoring and analytics platform for IT infrastructure, applications, and logs.
-
A.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
B.
Dirt Dog
Dirt Dog is a track by rapper and Wu-Tang Clan member Ol' Dirty Bastard, featured on his 1999 album "Nigga Please."
-
C.
Danny Dog
Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
-
D.
Dotti
Dotti is an Italian surname most notably associated with Luca Dotti, the son of actress Audrey Hepburn.
-
E.
Doggie Daddy
Doggie Daddy is a protective and well-meaning anthropomorphic dog and father figure from the classic Hanna-Barbera animated series "Augie Doggie and Doggie Daddy."
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c2067774819089728021aef5f967 |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c36b06dc81909f52cbe1c57eb128 |
completed | May 11, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c41859008190b786bdc2c09f24d1 |
completed | May 11, 2026, 11:57 a.m. |
Created at: April 10, 2026, 5:48 a.m.