Triple
T10396744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadwater Fell |
E245039
|
entity |
| Predicate | laterAvailableOn |
P1278
|
FINISHED |
| Object | All 4 |
E342497
|
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: All 4 | Statement: [Deadwater Fell, laterAvailableOn, All 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All 4 Context triple: [Deadwater Fell, laterAvailableOn, All 4]
-
A.
All 4
chosen
All 4 was the former name of Channel 4’s on-demand streaming service in the United Kingdom, offering catch-up and box-set content across its TV brands.
-
B.
ALL
ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
-
C.
Four
Four is the fourth studio album by British-Irish boy band One Direction, showcasing a more mature pop-rock sound and including hits like "Steal My Girl" and "Night Changes."
-
D.
ALLA
ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
-
E.
S4
S4 is a commuter rail line of the Nuremberg S-Bahn network serving regional passenger traffic in and around Nuremberg, Germany.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795cf331c8190b35caf3997dc29a3 |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.