Triple
T1092239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metis |
E24190
|
entity |
| Predicate | rankAmongWivesOfZeus |
P23384
|
FINISHED |
| Object | first wife |
—
|
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: first wife | Statement: [Metis, rankAmongWivesOfZeus, first wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankAmongWivesOfZeus Context triple: [Metis, rankAmongWivesOfZeus, first wife]
-
A.
ArtemisIs
Indicates that something or someone is identified as, or has the status/role of, Artemis.
-
B.
eraOfMyth
Indicates a temporal relationship where an event, story, or phenomenon belongs to or takes place during a mythological or legendary era.
-
C.
eraName
Indicates the named historical or chronological era associated with an entity or time period.
-
D.
equivalentInRomanMythology
Indicates that one entity corresponds to or is identified as the Roman-mythology counterpart of another entity from a different mythological tradition.
-
E.
eraOfSignificance
Indicates the historical period or timeframe during which an entity was particularly important, influential, or noteworthy.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b982018481908b222df095e318c0 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b741b0cc8190be001a16a81f6d9e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:42 p.m.