Triple
T26114811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Zane |
E658795
|
entity |
| Predicate | fatherWorksAt |
P159965
|
FINISHED |
| Object |
Rand, Kaldor & Zane
Rand, Kaldor & Zane is a prestigious New York law firm in the television series "Suits," known for employing Rachel Zane’s father, prominent attorney Robert Zane.
|
E1712705
|
NE FINISHED |
How this triple was built (3 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: Rand, Kaldor & Zane | Statement: [Rachel Zane, fatherWorksAt, Rand, Kaldor & Zane]
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: Rand, Kaldor & Zane Triple: [Rachel Zane, fatherWorksAt, Rand, Kaldor & Zane]
Generated description
Rand, Kaldor & Zane is a prestigious New York law firm in the television series "Suits," known for employing Rachel Zane’s father, prominent attorney Robert Zane.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherWorksAt Context triple: [Rachel Zane, fatherWorksAt, Rand, Kaldor & Zane]
-
A.
fatherOccupation
Indicates the type of job or profession held by a person's father.
-
B.
roleInFatherWork
Indicates that one entity has a specific role or involvement in the work or professional activities of another entity identified as the father.
-
C.
fatherFrom
Indicates a parental relationship where one entity is the biological or legal father of another entity.
-
D.
fatherWas
Indicates that one entity was the male parent (father) of another entity in the past.
-
E.
ownsWork
Indicates that one entity has legal ownership or proprietary rights over a particular work or creation.
- F. None of above. chosen
Provenance (7 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1127525f008190836700075b045809 |
completed | May 23, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_6a1151dc688c8190a4f0a89562fbcd44 |
completed | May 23, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11558061408190ab4e86f8005b0c6b |
completed | May 23, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 8:04 p.m.