Triple
T9299022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Lundigan |
E223712
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Love Nest
Love Nest is a 1951 American romantic comedy film best known for featuring Marilyn Monroe in an early supporting role.
|
E789597
|
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: Love Nest | Statement: [William Lundigan, notableWork, Love Nest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Nest Context triple: [William Lundigan, notableWork, Love Nest]
-
A.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
B.
Happy Home
"Happy Home" is a song featured on Tupac Shakur's posthumous album "Until the End of Time."
-
C.
Love Finds a Home
Love Finds a Home is a made-for-television drama film in the Love Comes Softly series, adapted from Janette Oke’s Christian historical romance novels.
-
D.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
-
E.
The Nest
"The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
- 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: Love Nest Triple: [William Lundigan, notableWork, Love Nest]
Generated description
Love Nest is a 1951 American romantic comedy film best known for featuring Marilyn Monroe in an early supporting role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Nest Target entity description: Love Nest is a 1951 American romantic comedy film best known for featuring Marilyn Monroe in an early supporting role.
-
A.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
B.
Happy Home
"Happy Home" is a song featured on Tupac Shakur's posthumous album "Until the End of Time."
-
C.
Love Finds a Home
Love Finds a Home is a made-for-television drama film in the Love Comes Softly series, adapted from Janette Oke’s Christian historical romance novels.
-
D.
The Nest
"The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
-
E.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08cf50cc8190a025f478dff4f9fd |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b25ac97881908751b466b370b7e5 |
completed | April 4, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69d0b301659481909c1865884421fcde |
completed | April 4, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b38ae1ec8190b36019d3a642290d |
completed | April 4, 2026, 6:45 a.m. |
Created at: March 30, 2026, 7:36 p.m.