Triple
T17781563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Andersen |
E443911
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | May Andersen |
—
|
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: May Andersen | Statement: [May Andersen, name, May Andersen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May Andersen Context triple: [May Andersen, name, May Andersen]
-
A.
May Andersen
chosen
May Andersen is a Danish model and former Victoria's Secret runway regular known for her work in high-fashion campaigns and magazines.
-
B.
Malvina Poulsen
Malvina Poulsen was the wife of English character actor H. B. Warner, known for his roles in early 20th-century stage and film productions.
-
C.
Ottilia Marie Jacobsen
Ottilia Marie Jacobsen was the wife of Danish brewer and art patron Carl Jacobsen, associated with the Carlsberg brewing dynasty and its cultural legacy.
-
D.
Elsa Kast
Elsa Kast is the central scientist protagonist in the science-fiction horror film "Splice," known for creating a dangerous human-animal hybrid.
-
E.
Tulip Olsen
Tulip Olsen is the introspective, puzzle-loving protagonist of the animated anthology series "Infinity Train," known for her emotional journey of self-discovery aboard a mysterious, ever-changing train.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4872152508190870a1765e0972ec1 |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.