Triple
T15595729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapestry |
E374886
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | So Far Away |
E77847
|
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: So Far Away | Statement: [Tapestry, hasPart, So Far Away]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Far Away Context triple: [Tapestry, hasPart, So Far Away]
-
A.
So Far Away
chosen
"So Far Away" is a reflective soft rock ballad by Carole King, best known from her landmark 1971 album "Tapestry."
-
B.
So Far Away
"So Far Away" is a 2017 electronic dance track by Dutch DJ and producer Martin Garrix, featuring emotional vocals and a melodic future bass style.
-
C.
So Far Away
"So Far Away" is a power ballad by American heavy metal band Avenged Sevenfold, widely known as an emotional tribute to their late drummer The Rev.
-
D.
Farther Away
Farther Away is a 2012 collection of essays by Jonathan Franzen that blends literary criticism, personal reflection, and environmental concerns.
-
E.
Far Away
"Far Away" is a song featured in the Japanese musical production "Leave It to Me!"
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f355ff48190a2c2c262c09e6de0 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:12 a.m.