Triple
T13027556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Share My World |
E326346
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Seven Days |
E454604
|
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: Seven Days | Statement: [Share My World, hasPart, Seven Days]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Days Context triple: [Share My World, hasPart, Seven Days]
-
A.
Seven Days
chosen
Seven Days is a musical project or band known for its association with guitarist Guitar Bains.
-
B.
Seven Days Walking
Seven Days Walking is a multi-volume 2019 piano-based album series by Italian composer Ludovico Einaudi that explores subtle variations on recurring melodic themes inspired by winter walks in the Alps.
-
C.
117 Days
117 Days is a memoir by South African anti-apartheid activist Ruth First recounting her arrest and solitary confinement under the apartheid regime.
-
D.
Five Days
Five Days is a British television drama miniseries that follows the emotional and procedural fallout after a woman mysteriously disappears, intertwining the perspectives of her family and the police over five non-consecutive days.
-
E.
Three Days
"Three Days" is a song by the American rock band Teatro.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:53 p.m.