Triple
T18641518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serena Ventures |
E455697
|
entity |
| Predicate | portfolioCompany |
P43497
|
FINISHED |
| Object |
Gobble
Gobble is a meal-kit delivery company that provides chef-designed, ready-to-cook dinners that can be prepared quickly at home.
|
E1334753
|
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: Gobble | Statement: [Serena Ventures, portfolioCompany, Gobble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gobble Context triple: [Serena Ventures, portfolioCompany, Gobble]
-
A.
Gob
Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
-
B.
Goober
Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
-
C.
Chomps
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
D.
Nibbler
Nibbler is a small, seemingly cute but incredibly ancient and powerful alien creature from the animated series Futurama.
-
E.
Gub-Gub
Gub-Gub is a fictional talking pig and one of Doctor Dolittle’s most loyal animal companions in Hugh Lofting’s children’s book series.
- 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: Gobble Triple: [Serena Ventures, portfolioCompany, Gobble]
Generated description
Gobble is a meal-kit delivery company that provides chef-designed, ready-to-cook dinners that can be prepared quickly at home.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gobble Target entity description: Gobble is a meal-kit delivery company that provides chef-designed, ready-to-cook dinners that can be prepared quickly at home.
-
A.
Gob
Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
-
B.
Goober
Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
-
C.
Chomps
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
D.
Nibbler
Nibbler is a small, seemingly cute but incredibly ancient and powerful alien creature from the animated series Futurama.
-
E.
Gub-Gub
Gub-Gub is a fictional talking pig and one of Doctor Dolittle’s most loyal animal companions in Hugh Lofting’s children’s book series.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fccafec8190a340356d5bbd3cdf |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d8447e48190b496903add62b2bb |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050f560d088190bd23765330dcef47 |
completed | May 13, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050fc2dd2c81909e3c929f57b299d5 |
completed | May 13, 2026, 11:56 p.m. |
Created at: April 10, 2026, 11:47 a.m.