Triple
T16510610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Reventlow |
E401049
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Cheryl Holdridge
Cheryl Holdridge was an American actress best known as one of the original Mouseketeers on Disney's "The Mickey Mouse Club."
|
E1258202
|
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: Cheryl Holdridge | Statement: [Lance Reventlow, spouse, Cheryl Holdridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheryl Holdridge Context triple: [Lance Reventlow, spouse, Cheryl Holdridge]
-
A.
Cheryl Thomas
Cheryl Thomas is a prominent legal scholar and professor at University College London known for her influential research on juries, judicial decision-making, and the justice system.
-
B.
Cheryl King
Cheryl King is known as the wife of former Canadian football quarterback and politician Don Meredith.
-
C.
Cheryl Edwards
Cheryl Edwards is a screenwriter best known for her work on the film "In the Mix."
-
D.
Maree Cheatham
Maree Cheatham is an American actress best known for her long-running roles in daytime soap operas and recurring appearances in film and television comedies.
-
E.
Cheryl Sparks
Cheryl Sparks is an actress best known for playing the character Huey.
- 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: Cheryl Holdridge Triple: [Lance Reventlow, spouse, Cheryl Holdridge]
Generated description
Cheryl Holdridge was an American actress best known as one of the original Mouseketeers on Disney's "The Mickey Mouse Club."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheryl Holdridge Target entity description: Cheryl Holdridge was an American actress best known as one of the original Mouseketeers on Disney's "The Mickey Mouse Club."
-
A.
Cheryl Thomas
Cheryl Thomas is a prominent legal scholar and professor at University College London known for her influential research on juries, judicial decision-making, and the justice system.
-
B.
Cheryl King
Cheryl King is known as the wife of former Canadian football quarterback and politician Don Meredith.
-
C.
Cheryl Edwards
Cheryl Edwards is a screenwriter best known for her work on the film "In the Mix."
-
D.
Maree Cheatham
Maree Cheatham is an American actress best known for her long-running roles in daytime soap operas and recurring appearances in film and television comedies.
-
E.
Cheryl Sparks
Cheryl Sparks is an actress best known for playing the character Huey.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e55fe7c8190abc957bdd326d1bc |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a016b8609dc8190bfd3e1b6ff715d65 |
completed | May 11, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016c5018e48190974c124c3433bcc6 |
completed | May 11, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:14 a.m.