Triple
T9330797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tab Hunter |
E224515
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Gertrude Gelien |
E791317
|
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: Gertrude Gelien | Statement: [Tab Hunter, mother, Gertrude Gelien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gertrude Gelien Context triple: [Tab Hunter, mother, Gertrude Gelien]
-
A.
Gertrude Gelien
chosen
Gertrude Gelien is the birth name of American actor and 1950s teen idol Tab Hunter.
-
B.
Marie de Jongh
Marie de Jongh was the wife of Sidney Woolf, a British judge and legal figure of the late 19th and early 20th centuries.
-
C.
Anna van Gelder
Anna van Gelder was the wife of famed Dutch admiral Michiel de Ruyter and a member of the Dutch bourgeoisie in the 17th century.
-
D.
Johanna Maria van der Haeghen
Johanna Maria van der Haeghen was a 17th-century Dutch woman best known as the wife of admiral Cornelis Tromp, a prominent naval commander of the Dutch Republic.
-
E.
Coosje van Bruggen
Coosje van Bruggen was a Dutch-American sculptor and art historian best known for her large-scale public art collaborations with her husband Claes Oldenburg.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ae4fcc81909be75d51e2dc455d |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3c30ba88190b192621928136b87 |
completed | April 4, 2026, 10:11 a.m. |
Created at: March 30, 2026, 7:39 p.m.