Triple
T11757742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sage |
E279567
|
entity |
| Predicate | contrastWith |
P278
|
FINISHED |
| Object | Indigo |
E276539
|
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: Indigo | Statement: [Sage, contrastWith, Indigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indigo Context triple: [Sage, contrastWith, Indigo]
-
A.
Indigo
chosen
Indigo is a publishing imprint of the Orion Publishing Group, known for releasing a range of contemporary fiction and non-fiction titles.
-
B.
INDIGO
INDIGO is the stock ticker symbol for IndiGo, a major low-cost airline based in India.
-
C.
Maroon
Maroon is a studio album by Canadian alternative rock band Barenaked Ladies, known for its witty lyrics and melodic pop-rock sound.
-
D.
Maroon
Maroon refers to the descendants of escaped African slaves in the Americas who formed independent communities, notably in places like Suriname and Jamaica, preserving distinct African-derived cultures and traditions.
-
E.
Maroon
"Maroon" is a moody, synth-pop song by Taylor Swift that reflects on a past romance with vivid, color-themed imagery.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5220f148190ae60d1941a579ab6 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a2f0a848190944ba2688c6d7ad2 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.