Triple
T15796471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dannie Heineman |
E382994
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dannie
Dannie is a given name most notably associated with the industrialist and philanthropist Dannie Heineman.
|
E1176748
|
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: Dannie | Statement: [Dannie Heineman, givenName, Dannie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dannie Context triple: [Dannie Heineman, givenName, Dannie]
-
A.
Dana Dane
Dana Dane is an American rapper and storyteller known for his humorous narrative style and influential 1980s hip-hop tracks like "Cinderfella Dana Dane."
-
B.
Dennis
Dennis is a person or character notably linked to the concept or theme of pests, such as through pest control, infestation, or nuisance-related contexts.
-
C.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
D.
Dennis
Dennis is the name of a notably destructive Atlantic hurricane whose impact led to its retirement from future storm name lists.
-
E.
Dennis
Dennis is a character associated with Brewis, likely appearing as an ally in the same fictional or narrative context.
- 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: Dannie Triple: [Dannie Heineman, givenName, Dannie]
Generated description
Dannie is a given name most notably associated with the industrialist and philanthropist Dannie Heineman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dannie Target entity description: Dannie is a given name most notably associated with the industrialist and philanthropist Dannie Heineman.
-
A.
Dana Dane
Dana Dane is an American rapper and storyteller known for his humorous narrative style and influential 1980s hip-hop tracks like "Cinderfella Dana Dane."
-
B.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
C.
Dennis
Dennis is a central teenage gang member in the British sci-fi action film "Attack the Block," known for battling alien invaders in a South London housing estate.
-
D.
Dennis
Dennis is a masculine given name of Greek origin, commonly used in English-speaking countries.
-
E.
Dennis
Dennis is the name of a notably destructive Atlantic hurricane whose impact led to its retirement from future storm name lists.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dd4fd88190a77b224b4dee6541 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90aea81c8190ad8bc0cdedf4b77a |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff93b24828819092841bc02059995d |
completed | May 9, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9435b800819093985b293a541e46 |
completed | May 9, 2026, 8:08 p.m. |
Created at: April 10, 2026, 4:48 a.m.