Triple
T3034532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Elfman |
E82976
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Elfman |
E82976
|
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: Elfman | Statement: [Danny Elfman, familyName, Elfman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elfman Context triple: [Danny Elfman, familyName, Elfman]
-
A.
Elfman
chosen
Elfman is the surname of American composer and musician Danny Elfman, renowned for his film scores and work with the band Oingo Boingo.
-
B.
Krammer
Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
-
C.
Count von Count
Count von Count is a friendly, number-obsessed vampire Muppet who teaches children basic counting skills on the television show Sesame Street.
-
D.
Ernman
Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
-
E.
Templeman
Templeman is an English-language surname borne by various notable individuals across fields such as music, sports, and public life.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2a40b48190bfa7cdbb0fbd87f8 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eeeeff988190bb664c75d54d93d8 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.