Triple
T14397264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Tandy |
E356980
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Christopher Cronyn
Christopher Cronyn is the son of acclaimed actors Jessica Tandy and Hume Cronyn.
|
E1098523
|
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: Christopher Cronyn | Statement: [Jessica Tandy, hasChild, Christopher Cronyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Cronyn Context triple: [Jessica Tandy, hasChild, Christopher Cronyn]
-
A.
Stephen Heard
Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
-
B.
John Gibbon
John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
-
C.
Gregg Henry
Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
-
D.
Warren Spady
Warren Spady is a designer best known for creating the trophy awarded in the historic Oregon–Oregon State college football rivalry.
-
E.
James McDaniel
James McDaniel is an American actor best known for his role as Lt. Arthur Fancy on the television drama series "NYPD Blue."
- 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: Christopher Cronyn Triple: [Jessica Tandy, hasChild, Christopher Cronyn]
Generated description
Christopher Cronyn is the son of acclaimed actors Jessica Tandy and Hume Cronyn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Cronyn Target entity description: Christopher Cronyn is the son of acclaimed actors Jessica Tandy and Hume Cronyn.
-
A.
Stephen Heard
Stephen Heard was an American Revolutionary War officer and politician who served as governor of Georgia in the late 18th century.
-
B.
John Gibbon
John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
-
C.
Gregg Henry
Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
-
D.
Warren Spady
Warren Spady is a designer best known for creating the trophy awarded in the historic Oregon–Oregon State college football rivalry.
-
E.
James McDaniel
James McDaniel is an American actor best known for his role as Lt. Arthur Fancy on the television drama series "NYPD Blue."
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90826f908190b3969af9b7cf922f |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc424f88190ab3a1c1aec61cb40 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5cf4dedc81908988f13f0fc9f510 |
completed | May 8, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5dcf151c8190959b3240813a1d71 |
completed | May 8, 2026, 3:51 a.m. |
Created at: April 10, 2026, 1:17 a.m.