Triple
T14653229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Hargitay |
E344043
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Miklós Hargitay |
E344043
|
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: Miklós Hargitay | Statement: [Mickey Hargitay, birthName, Miklós Hargitay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miklós Hargitay Context triple: [Mickey Hargitay, birthName, Miklós Hargitay]
-
A.
Mickey Hargitay
chosen
Mickey Hargitay was a Hungarian-American bodybuilder, actor, and former Mr. Universe best known for his marriage to Jayne Mansfield and his roles in 1950s–60s films.
-
B.
Paul Sciarra
Paul Sciarra is an American entrepreneur best known as a co-founder of the visual discovery and bookmarking platform Pinterest.
-
C.
Paul Brenner
Paul Brenner is an undercover U.S. Army Criminal Investigation Division agent who serves as the central protagonist in Nelson DeMille’s military crime thriller "The General’s Daughter."
-
D.
Val McNulty
Val McNulty is a fictional character appearing in P. G. Wodehouse’s comic novel "The Mating Season."
-
E.
Andy Sipowicz
Andy Sipowicz is a tough, emotionally complex New York City detective and central character from the television drama "NYPD Blue."
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.