Triple
T15814672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polly Moran |
E383443
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Martin T. Malone
Martin T. Malone was the husband of American silent-film and early sound-era character actress Polly Moran.
|
E1204549
|
NE FINISHED |
How this triple was built (4 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: Martin T. Malone | Statement: [Polly Moran, spouse, Martin T. Malone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin T. Malone Context triple: [Polly Moran, spouse, Martin T. Malone]
-
A.
Michael J. Malone
Michael J. Malone is a film producer best known for his work on the dark comedy crime film "The Informant!".
-
B.
James L. Malone
James L. Malone was a significant figure in the history of the University of Louisiana at Monroe’s football program, honored by having the university’s Malone Stadium named after him.
-
C.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
D.
John Stites
John Stites was a notable individual interred at Louisville, Kentucky’s historic Cave Hill Cemetery, recognized among its distinguished burials.
-
E.
James B. Sikking
James B. Sikking is an American actor best known for his roles in the television series "Hill Street Blues" and "Doogie Howser, M.D."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martin T. Malone Triple: [Polly Moran, spouse, Martin T. Malone]
Generated description
Martin T. Malone was the husband of American silent-film and early sound-era character actress Polly Moran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin T. Malone Target entity description: Martin T. Malone was the husband of American silent-film and early sound-era character actress Polly Moran.
-
A.
Michael J. Malone
Michael J. Malone is a film producer best known for his work on the dark comedy crime film "The Informant!".
-
B.
James L. Malone
James L. Malone was a significant figure in the history of the University of Louisiana at Monroe’s football program, honored by having the university’s Malone Stadium named after him.
-
C.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
D.
John Stites
John Stites was a notable individual interred at Louisville, Kentucky’s historic Cave Hill Cemetery, recognized among its distinguished burials.
-
E.
James B. Sikking
James B. Sikking is an American actor best known for his roles in the television series "Hill Street Blues" and "Doogie Howser, M.D."
- F. None of above. chosen
Provenance (5 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a1571881909488728f123865ad |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00179d63688190bda2758ed4b4e4df |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a001a35b43081909b44a22798b1ef1b |
completed | May 10, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a93530c81908cb4180d9ebe9850 |
completed | May 10, 2026, 5:41 a.m. |
Created at: April 10, 2026, 4:49 a.m.