Triple
T1000737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antinous |
E21595
|
entity |
| Predicate | consumes |
P22296
|
FINISHED |
| Object | Odysseus’s food and drink |
—
|
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: Odysseus’s food and drink | Statement: [Antinous, consumes, Odysseus’s food and drink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consumes Context triple: [Antinous, consumes, Odysseus’s food and drink]
-
A.
consumptionMethod
Indicates the manner or process by which something is consumed, used up, or ingested.
-
B.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
C.
concludes
Indicates that one entity brings something (such as an event, process, or discussion) to an end or reaches a final decision or judgment about it.
-
D.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
- F. None of above. chosen
Provenance (4 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b3a02ea481909555cf5b7bed0d9a |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:41 p.m.