Triple
T10067100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Tynes |
E213127
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Amanda Tynes
Amanda Tynes is best known as the wife of former NFL placekicker Lawrence Tynes.
|
E838986
|
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: Amanda Tynes | Statement: [Lawrence Tynes, spouse, Amanda Tynes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Tynes Context triple: [Lawrence Tynes, spouse, Amanda Tynes]
-
A.
Amanda Drew
Amanda Drew is a British actress known for her work in television, film, and theatre, including roles in series like "EastEnders" and various stage productions with the Royal Court and National Theatre.
-
B.
Bonnie McKee
Bonnie McKee is an American singer-songwriter and pop hitmaker known for co-writing numerous chart-topping songs for artists like Katy Perry, including the smash single "Roar."
-
C.
Mel Hinds
Mel Hinds is a child of American R&B and soul singer-songwriter Macy Gray.
-
D.
Vanessa Kensington
Vanessa Kensington is a British intelligence agent and love interest in the Austin Powers film series, portrayed by Elizabeth Hurley.
-
E.
Anitra Steen
Anitra Steen is a Swedish politician and former CEO of the state-owned alcohol retail monopoly Systembolaget, known also for being married to former Prime Minister Göran Persson.
- 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: Amanda Tynes Triple: [Lawrence Tynes, spouse, Amanda Tynes]
Generated description
Amanda Tynes is best known as the wife of former NFL placekicker Lawrence Tynes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Tynes Target entity description: Amanda Tynes is best known as the wife of former NFL placekicker Lawrence Tynes.
-
A.
Amanda Drew
Amanda Drew is a British actress known for her work in television, film, and theatre, including roles in series like "EastEnders" and various stage productions with the Royal Court and National Theatre.
-
B.
Bonnie McKee
Bonnie McKee is an American singer-songwriter and pop hitmaker known for co-writing numerous chart-topping songs for artists like Katy Perry, including the smash single "Roar."
-
C.
Mel Hinds
Mel Hinds is a child of American R&B and soul singer-songwriter Macy Gray.
-
D.
Vanessa Kensington
Vanessa Kensington is a British intelligence agent and love interest in the Austin Powers film series, portrayed by Elizabeth Hurley.
-
E.
Anitra Steen
Anitra Steen is a Swedish politician and former CEO of the state-owned alcohol retail monopoly Systembolaget, known also for being married to former Prime Minister Göran Persson.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff63a4c8190bb08a0428aafa189 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a8e682881909f5d079cc75e980b |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b985e308190a6ec3966e02f429c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c5f64c881909aa3d093422fe475 |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:58 p.m.