Triple
T6740303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cattle |
E154062
|
entity |
| Predicate | hasEnglishTitle |
P3437
|
FINISHED |
| Object | The Cattle |
E154062
|
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 Cattle | Statement: [The Cattle, hasEnglishTitle, The Cattle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Cattle Context triple: [The Cattle, hasEnglishTitle, The Cattle]
-
A.
The Cattle
chosen
The Cattle is the English title of Surah Al-An'am, the sixth chapter of the Qur’an, which focuses on themes of monotheism, divine guidance, and the refutation of idolatry.
-
B.
The Cow
The Cow is a landmark 1969 Iranian drama film directed by Dariush Mehrjui that is widely credited with helping launch the Iranian New Wave.
-
C.
The Cow
The Cow is the English title of Surah Al-Baqarah, the Quran’s longest chapter, which covers core themes of faith, law, guidance, and the relationship between God and humanity.
-
D.
Strolling of the Heifers
Strolling of the Heifers is an annual agricultural-themed parade and festival in Brattleboro, Vermont, celebrating local farms, food, and rural life.
-
E.
The Deer
The Deer is a character in the animated film "The Voices," portrayed through both acting and voice work by the same lead performer.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18971e081908372cd25d52a11bd |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0fb79c8190ae9871b7b2d9d733 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.