Triple
T16075165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brief Candle in the Dark |
E389962
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Ecco |
E331280
|
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: Ecco | Statement: [Brief Candle in the Dark, publisher, Ecco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ecco Context triple: [Brief Candle in the Dark, publisher, Ecco]
-
A.
Ecco
chosen
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
-
B.
Ecco
Ecco is a time-traveling bottlenose dolphin and the protagonist of the classic Sega action-adventure video game series "Ecco the Dolphin."
-
C.
Ecco Jr.
Ecco Jr. is a more accessible, child-friendly spin-off of the Ecco the Dolphin video game series, featuring simplified gameplay and educational elements.
-
D.
Estes
Estes is a surname of English and Scottish origin borne by various notable individuals across politics, sports, and the arts.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c0e4388190b4b9b86e1c38f184 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48715e48190a493d1e373dc7c5f |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.