Triple
T11282723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Battle Array |
E267102
|
entity |
| Predicate | hasEnglishTitle |
P3437
|
FINISHED |
| Object | The Row |
E861951
|
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: The Row | Statement: [The Battle Array, hasEnglishTitle, The Row]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Row Context triple: [The Battle Array, hasEnglishTitle, The Row]
-
A.
The Row
chosen
The Row is a luxury fashion label founded by Mary-Kate and Ashley Olsen, renowned for its minimalist aesthetic, impeccable tailoring, and high-end ready-to-wear collections.
-
B.
Burberry
Burberry is a British luxury fashion house renowned for its iconic trench coats, distinctive check pattern, and heritage-inspired apparel and accessories.
-
C.
Rag & Bone
Rag & Bone is an EP by the American alternative rock band The Walkabouts.
-
D.
Rag & Bone
Rag & Bone is a contemporary American fashion label known for its modern, understated designs that blend British tailoring with downtown New York aesthetics.
-
E.
Loewe
Loewe is a Spanish luxury fashion house renowned for its high-end leather goods, ready-to-wear, and accessories.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e96e15708190b3a1cccfbbe65882 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f471490081909036362c58e1e727 |
completed | April 19, 2026, 3:27 p.m. |
Created at: April 8, 2026, 9:31 p.m.