Triple
T3065056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macworld 2007 |
E62083
|
entity |
| Predicate | includesQuote |
P24842
|
FINISHED |
| Object | an iPod, a phone, and an Internet communicator |
—
|
LITERAL 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: an iPod, a phone, and an Internet communicator | Statement: [Macworld 2007, includesQuote, an iPod, a phone, and an Internet communicator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesQuote Context triple: [Macworld 2007, includesQuote, an iPod, a phone, and an Internet communicator]
-
A.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to another entity.
-
B.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
includesSaying
chosen
Indicates that one entity (such as a text, speech, or communication) contains or incorporates a particular saying, phrase, or quoted expression.
-
D.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
-
E.
includesResponse
Indicates that one entity contains, incorporates, or encompasses another entity as a response or reply.
- F. None of above.
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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fc01dc81908fbdf7c1ef73afe4 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.