Triple
T13756289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dany Heatley |
E330481
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Heatley |
E1059021
|
NE FINISHED |
How this triple was built (2 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: Heatley | Statement: [Dany Heatley, familyName, Heatley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heatley Context triple: [Dany Heatley, familyName, Heatley]
-
A.
Heatley
chosen
Heatley is a surname most prominently associated with former NHL star forward Dany Heatley, known for his prolific goal-scoring career.
-
B.
Heiss
Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
-
C.
Hochkalter
Hochkalter is a prominent mountain peak in the Bavarian Alps of southeastern Germany, known for its rugged limestone formations and popular alpine climbing routes.
-
D.
Hitzig
Hitzig is a German surname most notably associated with 19th-century figures such as architect Friedrich Hitzig.
-
E.
Garm Hava
Garm Hava is a landmark 1973 Indian film that poignantly portrays the struggles of a Muslim family in post-Partition India and is widely regarded as a classic of Indian parallel cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06faed88190abc44e6256cb9301 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:09 p.m.