Triple
T13304567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mantell |
E316903
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Lawrence Walsh |
E720173
|
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: Lawrence Walsh | Statement: [Joe Mantell, portrayed, Lawrence Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Walsh Context triple: [Joe Mantell, portrayed, Lawrence Walsh]
-
A.
Lawrence Walsh
chosen
Lawrence Walsh was an American lawyer and judge best known for serving as independent counsel in the Iran-Contra investigation during the Reagan administration.
-
B.
George Tierney
George Tierney was a prominent late 18th- and early 19th-century British Whig politician known for his opposition to William Pitt the Younger and his role as a leading parliamentary critic of government policy.
-
C.
Brian O’Dowd
Brian O’Dowd is a television and film producer best known for his work as an executive producer on the series "Nightingale."
-
D.
Phil Heffernan
Phil Heffernan is an artist best known for creating the cover artwork for the novel "Candles Burning."
-
E.
Kevin Tighe
Kevin Tighe is an American actor best known for his role as firefighter-paramedic Roy DeSoto on the television series "Emergency!" and for numerous character roles in film and television.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74612bab88190bf1a895b87be12c1 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:28 p.m.