Triple
T28847500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonnoi (traditional attribution) |
E728491
|
entity |
| Predicate | hasNotablePersonTraditionallyBornHere |
P12823
|
FINISHED |
| Object | Antigonus I Monophthalmus |
—
|
NE NERFINISHED |
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: Antigonus I Monophthalmus | Statement: [Gonnoi (traditional attribution), hasNotablePersonTraditionallyBornHere, Antigonus I Monophthalmus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePersonTraditionallyBornHere Context triple: [Gonnoi (traditional attribution), hasNotablePersonTraditionallyBornHere, Antigonus I Monophthalmus]
-
A.
hasNotablePersonBornHere
chosen
Indicates that a notable or distinguished person was born at the referenced place.
-
B.
isBorneByNotablePeopleIn
Indicates that something (such as a name, title, or attribute) is carried or held by notable people within a specified place or context.
-
C.
hasNotablePersonRaisedHere
Indicates that a notable person spent their formative or upbringing years in the referenced place.
-
D.
nearBirthplaceOf
Indicates that one entity is located close to the place where another entity was born.
-
E.
namedForPersonBornInArea
Indicates that something is named after a person who was born in the specified geographic area.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: April 28, 2026, 6:42 a.m.