Triple
T14878804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Data |
E349938
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Chunk |
E901321
|
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: Chunk | Statement: [Data, friendOf, Chunk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chunk Context triple: [Data, friendOf, Chunk]
-
A.
Chunk
chosen
Chunk is a lovable, clumsy, and comedic member of the kids’ adventure group in the 1985 film "The Goonies," best known for his exaggerated stories and the "Truffle Shuffle."
-
B.
Slice
Slice is a 2018 horror-comedy film that blends slasher and supernatural elements in a quirky, stylized story involving pizza delivery and a series of mysterious murders.
-
C.
Block
Block is a surname shared by various notable individuals across fields such as politics, arts, and sciences.
-
D.
Blocks
Blocks is a Python deep learning framework built on top of Theano that provides modular, reusable components for constructing and training neural networks.
-
E.
Shard
Shard is a prominent skyscraper in London, officially known as The Shard, recognized for its distinctive glass design and status as one of the tallest buildings in the United Kingdom.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5670108190b41ef95dc318be60 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.