Triple
T15337803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Moran |
E366711
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Owen |
E840353
|
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: Owen | Statement: [Owen Moran, hasGivenName, Owen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Context triple: [Owen Moran, hasGivenName, Owen]
-
A.
Owen
Owen is a common Welsh-origin surname borne by many people, including the renowned World War I poet Wilfred Owen.
-
B.
Owen
Owen is a settlement located near Teck Castle in Germany.
-
C.
Owen
chosen
Owen is a masculine given name of Welsh origin meaning "young warrior" or "well-born."
-
D.
Owen
Owen is a laid-back, wisecracking water park manager who becomes a supportive mentor to the shy teenage protagonist in the coming-of-age film "The Way Way Back."
-
E.
Owen Tillerman
Owen Tillerman is the mild-mannered, park manager father at the center of the animated musical series "Central Park," known for his earnest dedication to protecting the park and his quirky, loving family.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.