Triple
T11887832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Mammone |
E282833
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Finder
The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
|
E953348
|
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: The Finder | Statement: [Robert Mammone, notableWork, The Finder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Finder Context triple: [Robert Mammone, notableWork, The Finder]
-
A.
Macintosh Finder
Macintosh Finder is the graphical file management and desktop environment software for classic Mac OS, providing users with icons, windows, and menus to navigate and organize files.
-
B.
System 5
System 5 is an early version of Apple’s classic Macintosh operating system used on machines like the Macintosh Plus in the late 1980s.
-
C.
MacIntosh
MacIntosh is a Scottish-origin surname borne by various notable individuals in fields such as acting, politics, and academia.
-
D.
NeXTSTEP
NeXTSTEP was an advanced Unix-based operating system and development environment created by NeXT Inc., notable for its object-oriented frameworks and influential role in the later development of macOS and iOS.
-
E.
MacQuinn
MacQuinn is a surname variant of Quinn, typically associated with Irish or Gaelic heritage.
- 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: The Finder Triple: [Robert Mammone, notableWork, The Finder]
Generated description
The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Finder Target entity description: The Finder is a film featuring Australian actor Robert Mammone in a prominent role.
-
A.
Macintosh Finder
Macintosh Finder is the graphical file management and desktop environment software for classic Mac OS, providing users with icons, windows, and menus to navigate and organize files.
-
B.
System 5
System 5 is an early version of Apple’s classic Macintosh operating system used on machines like the Macintosh Plus in the late 1980s.
-
C.
MacIntosh
MacIntosh is a Scottish-origin surname borne by various notable individuals in fields such as acting, politics, and academia.
-
D.
NeXTSTEP
NeXTSTEP was an advanced Unix-based operating system and development environment created by NeXT Inc., notable for its object-oriented frameworks and influential role in the later development of macOS and iOS.
-
E.
MacQuinn
MacQuinn is a surname variant of Quinn, typically associated with Irish or Gaelic heritage.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a2860c8190a21af5fcddbd2f1e |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417e919548190acbc248879f957ec |
completed | May 1, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69f41f1abaa481908b8a6873a07af848 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f422778a10819093bc2473ef30fe71 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.