Triple
T15576936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Spector |
E374392
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Marlene Alraune |
E996173
|
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: Marlene Alraune | Statement: [Marc Spector, loveInterest, Marlene Alraune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlene Alraune Context triple: [Marc Spector, loveInterest, Marlene Alraune]
-
A.
Marlene Alraune
chosen
Marlene Alraune is a key Marvel Comics character closely associated with Moon Knight, often depicted as his love interest and ally in his vigilante activities.
-
B.
Lilli Schwarzkopf
Lilli Schwarzkopf is a German heptathlete who won the silver medal at the 2012 London Olympic Games.
-
C.
Rosa Holländer
Rosa Holländer was a member of the Holländer family and an aunt of diarist Anne Frank through her sister Edith Holländer.
-
D.
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
E.
Eva Wagner
Eva Wagner was a daughter of the famed German composer Richard Wagner, belonging to the prominent Wagner family closely associated with the Bayreuth Festival.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f30e48881908b30a71796fe0d72 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:11 a.m.